Topsis-Jayant-102097013

API and CLI tool to calculate Topsis, CLI tool inputs CSV/Excel files


Keywords
topsis, python, pypi, csv, xlsx, xls, cli, pypi-package
License
MIT
Install
pip install Topsis-Jayant-102097013==0.5.1

Documentation

Topsis Package (API & CLI)

GitHub Workflow Status PyPI GitHub release (latest SemVer) GitHub GitHub repo size

Python package that can be used as an API or as a CLI tool to calculate TOPSIS performance score and ranks.

CLI scripts takes csv/excel files as input!

Installation

pip install Topsis-Jayant-102097013

Command Line Usage

topsis input_file weights impacts output_file

Arguments

Arguments Description
input_file "CSV/Excel" file path
weights Comma separated numbers
impacts Comma separated '+' or '-'
output_file Output CSV file path

Output

Creates a output_file, that contains the original data with performance score and rank.

Example:

topsis data.xlsx "2,2,3,3,4" "+,-,+,-,+" output.csv 

API Usage

Steps

  1. Import topsis function from module topsis
  2. Invoke topsis function by passing in data, weights, impacts

Note: Impacts should be a list of -1 and 1. -1 depicting -ve and 1 depicting +ve impact

Example:

from topsis import topsis
import pandas as pd

df = pd.read_csv('data.csv')
weights = [2,2,3,3,4]
impacts=[1,-1,1,-1,1]
print(topsis(df, weights, impacts))

License

Licensed under the MIT License.

Development and Contributing

Yes, please! Feel free to contribute, raise issues and recommend best practices.