TOPSIS implementation in Python

This package is implementation of topsis technique for Order Preference by Similarity to Ideal Solution.
With the help of this package TOPSIS implementation can be done in simple few line code.\

Input

It takes an input CSV file which must contain >=3 columns.
Additional paramater weight and impact in the form of a list and Format of output file
First column is the object/variable name (e.g. M1, M2, M3, M4 ..)
From 2nd to last columns must contain numeric values only.\

Usage:

!pip install Topsis-Sneha-101916120==1.5
tp=__import__("Topsis-Sneha-101916120")
tp.topsis("101916120-data.csv","1,1,1,1,1","+,+,-,+,+","result.csv")
#tp.topsis("input file name ","weights","impacts","outpul file name")

Output

Result file will be a csv file containing all the columns of input file and two additional columns having Topsis Score and Rank.