Output is a dataframe with 3 columns
- Alternatives serial number
- Corresponding performance Score or closeness to ideal solution
- Rank
pip install topsis_navkiran
Note the name has an underscore not a hyphen. If installation gives error or package is not found after installing, install as sudo.
Recommended - test it out in a virtual environment.
pip install topsis_navkiran --upgrade
topsis_navkiran_cli data.csv 25,25,25,25 -+++
First argument after run.py is filename with .csv extension. The .csv file is assumed to have a structure similar to one provided in topsis_navkiran/data.csv
That is, the .csv file should have a header with column names and first column should only list alternatives and not attribute values.
from topsis_navkiran import topsis
"""
decision_matrix is 2D numpy array, weights is a 1D array and impacts is a string of the form +-+--
where + indicates benefit and - indicates cost
"""
output_dataframe = topsis(decision_matrix,weights,impacts)
The program has several assert statements which raise errors with helpful description in the following cases:
- Wrong dimensions of decision matrix (not 2D), weights (not 1D)
- Length of weights and impacts don't match
- Weights or impacts don't match number of attributes
- For command line, number of arguments is less than 3 required
- File extension must be .csv
Based off on a similar package for TOPSIS in R
Class project for DATA ANALYSIS AND VISUALISATION 2020 - UCS633 Thapar University, Patiala
Navkiran Singh
COE17
Roll number: 101703365