Metadata-Version: 2.1
Name: Topsis-Sneha-101916120
Version: 1.5
Summary: Topsis
Author: Sneha
Author-email: sdevrani_be19@thapar.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE.txt


# 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:
```python
!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.







