Metadata-Version: 2.1
Name: Topsis-Dipanshu-101803691
Version: 0.0.1
Summary: it is package which tells you best value based on the data by using some mathematical calculations
Home-page: https://github.com/DipanshuGolan96/topsis
Author: Dipanshu Golan
Author-email: dipanshugolan96@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy (==1.19.3)

# Topsis
It is a Python package to find out the best value among the different data using the mathematical calculations.

## Installation



Use the package manager [pip](https://pip.pypa.io/en/stable/) to install this package.



bash

pip install topsis-Dipanshu-101803691




## About

TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA method. As the name implies, the method is based on finding an ideal and an anti-ideal solution and comparing the distance of each one of the alternatives to those



To get started quickly, just use the following:



bash

from topis_package.topsis import topsis

topsis('inputfilename','Weights','Impacts','Outputfilename')



make ensure the weights and impacts should be in ""



eg: "1,1,1,1" and "+,-,+,-"



## Pre-requisite

The data should be enclosed in the csv file. There must be more than 2 columns




## Result

the output(outputfilename)  is saved in the project folder with extra 2 columns with topsis score and rank.



## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.



Please make sure to update tests as appropriate.
https://github.com/DipanshuGolan96/topsis

## License

[MIT](https://choosealicense.com/licenses/mit/)

