semvec/pypi-packages huggingface dataset:
Topsis-Lavisha-102103109 1.0.0
Topsis-Lavisha-102103109
License: MIT

# Topsis-Lavisha-102103109

Topsis-Lavisha Lakhmani is a Python library designed for addressing Multiple Criteria Decision Making (MCDM) problems using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method.

## Installation

You can install the library using pip:

```bash
pip install Topsis-Lavisha-Lakhmani
```

## How to Use

To use the library, provide the CSV filename with the ".csv" extension, the weights vector with comma-separated values, the impacts vector with comma-separated signs (+,-), and the output CSV filename with the ".csv" extension.

Example:

```bash
Topsis sample.csv "1,1,1,2,2" "+,+,-,+,+" result.csv
```

## Input (sample.csv)

Fund Name,P1,P2,P3,P4,P5

M1,0.68,0.46,4,52.7,14.46

M2,0.61,0.37,6.9,51.5,14.85

M3,0.61,0.37,4.4,53.5,14.72

M4,0.7,0.49,6,54.5,15.42

M5,0.65,0.42,4.1,68.7,18.47

M6,0.62,0.38,3.6,36.4,10.25

M7,0.92,0.85,5.2,44.6,12.89

M8,0.81,0.66,3.7,35.9,10.27

## Command

```bash
Topsis sample.csv "1,1,1,2,2" "+,+,-,+,+" result.csv

```

## Output (result.csv)

Fund Name,P1,P2,P3,P4,P5,Topsis Score,Rank

M1,0.68,0.46,4.0,52.7,14.46,0.5903064989592446,4.0

M2,0.61,0.37,6.9,51.5,14.85,0.5408709514358343,5.0

M3,0.61,0.37,4.4,53.5,14.72,0.5933191124418361,3.0

M4,0.7,0.49,6.0,54.5,15.42,0.4714313335411608,7.0

M5,0.65,0.42,4.1,68.7,18.47,0.3803866453639049,8.0

M6,0.62,0.38,3.6,36.4,10.25,0.9855303249104818,1.0

M7,0.92,0.85,5.2,44.6,12.89,0.5209148114910495,6.0

M8,0.81,0.66,3.7,35.9,10.27,0.7535236734320149,2.0

## Other Notes

The library removes the first column and first row from the CSV before processing to eliminate indices and headers. Ensure your CSV follows the format as shown in the sample.csv.
Make sure the CSV does not contain categorical values.
xladybug 0.1.1
Used for debugging.
License: MIT
Keywords: python,debugger,performance


# Debugger tool
[X](https://twitter.com/itsrishub) | [linkedin](https://www.linkedin.com/in/itsrishub)

Debug your code with advance python module, get time of execution, parameters, returns and many more.

Import:
```
from xladybug import debug
```

Usage for functions:
```
@debug
def function():
    #your_code
```

Usage for variables:
```
x = 10
debug(x)
```

Usage for debugging:
```
debug('here!')
```
mypackage34567890 0.1.0
My short description for my project.
License: MIT
Requires Python: >=3.6.0


📦 setup.py (for humans)
=======================

This repo exists to provide [an example setup.py] file, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices for `setup.py`, as well as some
commented–out nice–to–haves.

For example, this `setup.py` provides a `$ python setup.py upload`
command, which creates a *universal wheel* (and *sdist*) and uploads
your package to [PyPi] using [Twine], without the need for an annoying
`setup.cfg` file. It also creates/uploads a new git tag, automatically.

In short, `setup.py` files can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)

[Check out the example!][an example setup.py]

Installation
-----

```bash
cd your_project

# Download the setup.py file:
#  download with wget
wget https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py -O setup.py

#  download with curl
curl -O https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py
```

To Do
-----

-   Tests via `$ setup.py test` (if it's concise).

Pull requests are encouraged!

More Resources
--------------

-   [What is setup.py?] on Stack Overflow
-   [Official Python Packaging User Guide](https://packaging.python.org)
-   [The Hitchhiker's Guide to Packaging]
-   [Cookiecutter template for a Python package]

License
-------

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.

  [an example setup.py]: https://github.com/navdeep-G/setup.py/blob/master/setup.py
  [PyPi]: https://docs.python.org/3/distutils/packageindex.html
  [Twine]: https://pypi.python.org/pypi/twine
  [image]: https://farm1.staticflickr.com/628/33173824932_58add34581_k_d.jpg
  [What is setup.py?]: https://stackoverflow.com/questions/1471994/what-is-setup-py
  [The Hitchhiker's Guide to Packaging]: https://the-hitchhikers-guide-to-packaging.readthedocs.io/en/latest/creation.html
  [Cookiecutter template for a Python package]: https://github.com/audreyr/cookiecutter-pypackage