semvec/pypi-packages huggingface dataset:
Topsis-Paras-102203836 1.0.6
A Python package for TOPSIS
Keywords: Topsis, Ranking, Decision Making, MCDM

# TOPSIS

This script calculates the **TOPSIS** (Technique for Order Preference by Similarity to Ideal Solution) score and ranks alternatives based on the provided decision matrix, weights, and impacts. It uses the weights and impacts to determine the ideal best and worst values, then calculates the distance of each alternative from these values to derive the final score and ranking.

## Installation

There are no external dependencies, but you need to have **Python** and **pandas** installed to run the script.

```pip install Topsis-Paras-102203836```

## How to use it?
### Step 1: Prepare the Data
The input data should be a CSV file containing the following columns:

The first column should contain the fund names.
The remaining columns should contain the criteria values for each alternative (row).

### Step 2: Run the Script
To run the script, use the following command in the terminal:


<!-- python topsis.py data.csv "1,1,1,2,1" "+,+,-,+,-" results.csv( agar mereko chalana hai to ) -->
python -m Topsis-Paras-102203836.topsis data.csv "1,1,1,2,1" "+,+,-,+,-" results.csv

Where:

data.csv is your input CSV file (e.g., data.csv).

"1,1,1,2,1" is a comma-separated string of weights for each criterion (e.g., "1,1,1,2,1").

"+,+,-,+,-" is a comma-separated string of impacts for each criterion (e.g., "+,+,-,+,-").

results.csv is the file where the results will be saved (e.g., results.csv).

### Step 3: Output
The output will be a CSV file with the calculated TOPSIS scores and ranks for each alternative.
...

## Link to my package
### https://pypi.org/project/Topsis-Paras-102203836/
mrms-time-series 0.1.1
Time Series Downloader for MRMS Products
Requires Python: <4.0,>=3.11

## Acknowledgments
This software allows users to input coordinates and a date range to automatically download time series of rainfall or streamflow data from the MRMS archive available at https://mtarchive.geol.iastate.edu/, including QPE rainfall and FLASH streamflow products.

This package was developed by Gonzalo Forero Buitrago under the supervision of Dr. Humberto Vergara Arrieta at the University of Iowa, as part of the Advanced Hydrology and Warning Applications research at IIHR – Hydroscience & Engineering.

Special thanks to Dr. Humberto Vergara Arrieta for his guidance and support during the development of this software, and to Ruben Molina for generously sharing his knowledge.
pyutmodelv2 2.2.6
Version 2 of the External Pyut Data Model
Keywords: pyut, external model, python

![](https://github.com/hasii2011/code-ally-basic/blob/master/developer/agpl-license-web-badge-version-2-256x48.png "AGPL")

[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://GitHub.com/Naereen/StrapDown.js/graphs/commit-activity)
[![CircleCI](https://dl.circleci.com/status-badge/img/gh/hasii2011/pyutmodelv2/tree/master.svg?style=shield)](https://dl.circleci.com/status-badge/redirect/gh/hasii2011/pyutmodelv2/tree/master)
[![PyPI version](https://badge.fury.io/py/pyutmodelv2.svg)](https://badge.fury.io/py/pyutmodelv2)

𝓟 𝓨 𝓤 𝓣 stands for Python UML Tool. This is the second version the external data model for Pyut
that allows for external plugin development.  This version relies on Python's data classes, thus 
removing lots of boilerplate code as well as "java" idiom code.

## Developer Notes
This project uses [buildlackey](https://github.com/hasii2011/buildlackey) for day to day development builds

___

## Note
For all kind of problems, requests, enhancements, bug reports, etc.,
please drop me an e-mail.
Written by <a href="mailto:email@humberto.a.sanchez.ii@gmail.com?subject=Hello Humberto">Humberto A. Sanchez II</a>  (C) 2025



![Humberto's Modified Logo](https://raw.githubusercontent.com/wiki/hasii2011/gittodoistclone/images/SillyGitHub.png)

I am concerned about GitHub's Copilot project


I urge you to read about the
[Give up GitHub](https://GiveUpGitHub.org) campaign from[the Software Freedom Conservancy](https://sfconservancy.org).

While I do not advocate for all the issues listed there I do not like that a company like Microsoft may profit from open source projects.

I continue to use GitHub because it offers the services I need for free.  But, I continue to monitor their terms of service.

Any use of this project's code by GitHub Copilot, past or present, is done without my permission.  I do not consent to GitHub's use of this project's code in Copilot.