Topsis-Harsh-102203215 1.1.5

A Python package for TOPSIS ranking with CLI support for CSV/Excel files

Topsis-Harsh-102203215

Topsis-Harsh-102203215 is a Python package for performing the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) ranking method on decision matrices. This package allows you to rank alternatives based on multiple criteria, with support for both CLI and programmatic usage. It also provides CLI functionality for processing CSV and Excel files.

Installation

You can install the package from PyPI using pip:

pip install Topsis-Harsh-102203215

Usage

CLI Usage After installation, you can use the package directly from the command line. The general syntax for the CLI is:

topsis <input_file> <output_file>

input_file: The path to a CSV file containing the decision matrix (alternatives x criteria).

weights: A comma-separated list of weights corresponding to each criterion (e.g., 1,1,1,1).

impacts: A comma-separated list of impacts for each criterion, where + indicates a benefit and - indicates a cost (e.g., +,+, -, +).

output_file: The path where the output will be saved.

Example:

topsis input.csv "1,1,1,1" "+,+,-,+" output.csv

Call the topsis function

rankings, scores = topsis(data, weights, impacts)

Print the rankings and scores

print("Rankings:", rankings) print("Scores:", scores)

Features

TOPSIS: Perform multi-criteria decision-making using the TOPSIS method.

CLI: Command-line interface to process decision matrices in CSV files and output rankings.

Supports CSV Files: Easily read and write decision matrices in CSV format.

Requirements

Python 3.6 or higher numpy >= 1.21.0 pandas >= 1.3.0

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Harsh Lakyan Email: [e-mail] GitHub: https://github.com/harshlakyan51