https://github.com/iv4n-ga6l/ExcelExtractorJsonPDF
Python package for converting data from Excel to JSON and PDF
https://github.com/iv4n-ga6l/ExcelExtractorJsonPDF
excelparser package pandas python reportlab
Last synced: 5 months ago
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Python package for converting data from Excel to JSON and PDF
- Host: GitHub
- URL: https://github.com/iv4n-ga6l/ExcelExtractorJsonPDF
- Owner: iv4n-ga6l
- License: mit
- Created: 2024-05-11T14:26:01.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-11T17:40:11.000Z (over 1 year ago)
- Last Synced: 2025-04-15T19:51:01.560Z (6 months ago)
- Topics: excelparser, package, pandas, python, reportlab
- Language: Python
- Homepage: https://pypi.org/project/ExcelExtractorJsonPDF/0.2/
- Size: 28.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# 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](LICENSE.md)