Topsis-HarshPaba-102003675


NameTopsis-HarshPaba-102003675 JSON
Version 0.0.1 PyPI version JSON
download
home_page
SummaryA python package to implement topsis
upload_time2023-01-21 12:34:00
maintainer
docs_urlNone
authorHarsh Paba
requires_python>=3.6
license
keywords topsis maths multiple criteria decision making
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Topsis implemented by Harsh Paba

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 
[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

## Functionality of the package

- Outputs the performance score and rank corresponding to each row of the dataset.

## Usage

- Make sure you have Python installed in your system.
- Run the following command in terminal.
 ```
  pip install Topsis_HarshPaba_102003675
  ```
## Example
  ```
  from Topsis_HarshPaba_102003675 import find_rank
  ip=sys.argv[1]
  wt=sys.argv[2]
  im=sys.argv[3]
  op=sys.argv[4]
  find_rank(ip,wt,im,op)
  ```

## Run the following Script.
 ```
  python test.py <inputFile.csv> weights impacts <outputFile.csv>




            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "Topsis-HarshPaba-102003675",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": "",
    "keywords": "topsis,maths,multiple criteria decision making",
    "author": "Harsh Paba",
    "author_email": "",
    "download_url": "",
    "platform": null,
    "description": "# Topsis implemented by Harsh Paba\n\n[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 \n[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   \n\n## Functionality of the package\n\n- Outputs the performance score and rank corresponding to each row of the dataset.\n\n## Usage\n\n- Make sure you have Python installed in your system.\n- Run the following command in terminal.\n ```\n  pip install Topsis_HarshPaba_102003675\n  ```\n## Example\n  ```\n  from Topsis_HarshPaba_102003675 import find_rank\n  ip=sys.argv[1]\n  wt=sys.argv[2]\n  im=sys.argv[3]\n  op=sys.argv[4]\n  find_rank(ip,wt,im,op)\n  ```\n\n## Run the following Script.\n ```\n  python test.py <inputFile.csv> weights impacts <outputFile.csv>\n\n\n\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "A python package to implement topsis",
    "version": "0.0.1",
    "split_keywords": [
        "topsis",
        "maths",
        "multiple criteria decision making"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "519c05cd5af5dff551dba32b1a64dc7b93e8a359150bfaf17bdcb042ab4f62c4",
                "md5": "37534256c9ac2904865e3ed2c765cb12",
                "sha256": "6ce4f7dbba18461c33aed36c32938c7b41d9fdc44c60d9978da7010eec001e7b"
            },
            "downloads": -1,
            "filename": "Topsis_HarshPaba_102003675-0.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "37534256c9ac2904865e3ed2c765cb12",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6",
            "size": 2642,
            "upload_time": "2023-01-21T12:34:00",
            "upload_time_iso_8601": "2023-01-21T12:34:00.574510Z",
            "url": "https://files.pythonhosted.org/packages/51/9c/05cd5af5dff551dba32b1a64dc7b93e8a359150bfaf17bdcb042ab4f62c4/Topsis_HarshPaba_102003675-0.0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-01-21 12:34:00",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "topsis-harshpaba-102003675"
}
        
Elapsed time: 0.04659s