semvec/pypi-packages huggingface dataset:
Topsis-Chitraksh-102017040 0.0.3
This library is used to run TOPSIS on given data to rank items
License: MIT
Keywords: TOPSIS,RANKING,PROJECT,UCS654

# TOPSIS Module by Chitraksh Kumar

## Roll No. 102017040

## Requirements
``` 
pip install pandas
pip install numpy
```

## Install
Download the code using pip
```
pip install pip install Topsis-Chitraksh-102017040
```

## Running the code
```
102017040 102017040.py 102017040-data.csv "1,1,1,1,1" "+,-,+,-,+" 102017040-result-1.csv 
```
beancount-mbank 0.1.0
Beancount Importer for mBank (PL) CSV exports
License: MIT
Requires Python: >=3.7
Keywords: banking,beancount,cli-accounting,finance

========
Overview
========



Beancount Importer for mBank (PL) CSV exports


Installation
============

::

    pip install beancount-mbank

You can also install the in-development version with::

    pip install https://github.com/lstrzepek/beancount-mbank/archive/main.zip


Documentation
=============


https://beancount-mbank.readthedocs.io/


Development
===========

To run all the tests run::

    tox

Note, to combine the coverage data from all the tox environments run:

.. list-table::
    :widths: 10 90
    :stub-columns: 1

    - - Windows
      - ::

            set PYTEST_ADDOPTS=--cov-append
            tox

    - - Other
      - ::

            PYTEST_ADDOPTS=--cov-append tox


Changelog
=========

0.0.0 (2023-01-22)
------------------

* First release on PyPI.
Topsis-Sukhmanjit-102003484 0.0.1
topsis
License: MIT
Keywords: topsis

This is a package for TOPSIS created by me. References are given in the code if want to understand it
Run the program through command line as:
Usages: python <program.py> <InputDataFile> <Weights> <Impacts> <ResultFileName>
Example: python 101556.py 101556-data.csv “1,1,1,2” “+,+,-,+” 101556-result.csv
Program contains the following checkers:
• Correct number of parameters (inputFileName, Weights, Impacts, resultFileName).
• Show the appropriate message for wrong inputs.
• Handling of “File not Found” exception
• Input file must contain three or more columns.
• From 2nd to last columns must contain numeric values only (Handling of non-numeric values)
• Number of weights, number of impacts and number of columns (from 2nd to last columns) must
be same.
• Impacts must be either +ve or -ve.
• Impacts and weights must be separated by ‘,’ (comma).

Change Log
==========

0.0.1 (22/01/2023)
-------------------
- First Release
topsis-kanuj-102017188 1.2
Python Package implementing TOPSIS method for multi-criteria decision making method
License: MIT
Keywords: topsis,mcdm,mcda,TIET,thapar

# Topsis Python Package

This is a Python Package implementing Topsis Multi-Criteria Decison Making method.<br />
It is a simple implementation using
    - pandas
    - numpy<br />
It stores the output as a csv file with user-specified name.<br/>
Output contains the original data with two additional columns i.e. Topsis Score and Rank based on the score.

## Installation

To install the package<br />

```pip install topsis-kanuj-102017188```

## Usage

To use the package from the command line (Data file and result file name should contain .csv extension)<br />

```topsis [data file name] [weights as string seperated by ','] [impacts as string seperated by ','] [result data file name]```

For example<br />

```topsis data.csv "1,1,1,1,1" "+,+,+,-,+" result.csv```

## Sample

Data Sample<br />

```
Model,StorageSpace,Camera,Price,Looks
M1,16,12,250,5
M2,16,8,200,3
M3,32,16,300,4
M4,32,8,275,4
M5,16,16,225,2
```
Sample topsis command<br />

```topsis data.csv "0.25,0.25,0.25,0.25" "+,+,-,+" result.csv```

Sample Output file<br />
```
Model,StorageSpace,Camera,Price,Looks,TopsisScore,Rank
M1,16,12,250,5,0.534277,3.0
M2,16,8,200,3,0.308368,5.0
M3,32,16,300,4,0.691632,1.0
M4,32,8,275,4,0.534737,2.0
M5,16,16,225,2,0.401046,4.0
```

## Notes

The data should only contain numerical data.<br />