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/excelfiles as input!
pip install Topsis-Jayant-102097013
topsis input_file weights impacts output_file
| Arguments | Description |
|---|---|
| input_file | "CSV/Excel" file path |
| weights | Comma separated numbers |
| impacts | Comma separated '+' or '-' |
| output_file | Output CSV file path |
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 - Import topsis function from module topsis
- 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))Licensed under the MIT License.
Yes, please! Feel free to contribute, raise issues and recommend best practices.