Metadata-Version: 2.1
Name: Topsis-Shubham-101903131
Version: 1.1.2
Summary: A Python package implementing TOPSIS technique.
Home-page: UNKNOWN
Author: Shubham Trivedi
Author-email: strivedi_be19@thapar.edu
License: MIT
Description: # TOPSIS-Python
        
        Submitted By: **Shubham 101903131**
        
        ---
        
        ## What is TOPSIS
        
        **T**echnique for **O**rder **P**reference by **S**imilarity to **I**deal
        **S**olution (TOPSIS) originated in the 1980s as a multi-criteria decision
        making method. TOPSIS chooses the alternative of shortest Euclidean distance
        from the ideal solution, and greatest distance from the negative-ideal
        solution. More details at [wikipedia](https://en.wikipedia.org/wiki/TOPSIS).
        
        <br>
        
        ## How to use this package:
        
        Topsis-Shubham-101903131 can be run as in the following example:
        
        ### In Command Prompt
        
        ```
        >> topsis data.csv "1,1,1,1" "+,+,-,+"
        ```
        
        <br>
        
        ### In Python IDLE:
        
        ```
        >>> import pandas as pd
        >>> from topsis_py.topsis import topsis
        >>> dataset = pd.read_csv('data.csv').values
        >>> d = dataset[:,1:]
        >>> w = [1,1,1,1]
        >>> im = ["+" , "+" , "-" , "+" ]
        >>> topsis(d,w,im)
        ```
        
        <br>
        <br>
        
        The rankings are displayed in the form of a table using a package 'tabulate', with the 1st rank offering us the best decision, and last rank offering the worst decision making, according to TOPSIS method.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
