topsis-anadya-102103021


Nametopsis-anadya-102103021 JSON
Version 1.0.0 PyPI version JSON
download
home_page
Summarytopsis package for decision making
upload_time2024-01-23 18:47:23
maintainer
docs_urlNone
authorAnadya Sahai
requires_python
license
keywords python topsis mcdm data science
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # topsis-anadya-102103021
topsis-anadya-102103021 is a Python library for dealing with Multiple Criteria Decision Making(MCDM) problems by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS).
## Installation
Use the package manager pip to install topsis-anadya-102103021.
```pip install topsis-anadya-102103021```

## How to use it?
Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-), and finally enter the name of the output file also followed by .csv extension.
```sample.csv 1,1,1,1 +,-,+,+ final.csv```

## Note
Make sure the csv does not contain categorical values.

## License

© 2024 Anadya Sahai
This repository is licensed under the MIT license. See LICENSE for details.

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "topsis-anadya-102103021",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "python,topsis,mcdm,data science",
    "author": "Anadya Sahai",
    "author_email": "=anadya.sahai@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/ed/e6/e68ef1434868e221e04f1b797cfc055bc5dec59ed67eacb7e1ba8e44154e/topsis_anadya_102103021-1.0.0.tar.gz",
    "platform": null,
    "description": "# topsis-anadya-102103021\r\ntopsis-anadya-102103021 is a Python library for dealing with Multiple Criteria Decision Making(MCDM) problems by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS).\r\n## Installation\r\nUse the package manager pip to install topsis-anadya-102103021.\r\n```pip install topsis-anadya-102103021```\r\n\r\n## How to use it?\r\nEnter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-), and finally enter the name of the output file also followed by .csv extension.\r\n```sample.csv 1,1,1,1 +,-,+,+ final.csv```\r\n\r\n## Note\r\nMake sure the csv does not contain categorical values.\r\n\r\n## License\r\n\r\n\u00c2\u00a9 2024 Anadya Sahai\r\nThis repository is licensed under the MIT license. See LICENSE for details.\r\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "topsis package for decision making",
    "version": "1.0.0",
    "project_urls": null,
    "split_keywords": [
        "python",
        "topsis",
        "mcdm",
        "data science"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "9ce8047540096cc13d54d26b7d0fcf1cae0daa839dd31aaeb79e7943f553f258",
                "md5": "04ebff31cd2b698bc3a7d08dd4686d2b",
                "sha256": "49f656241935756c2a60e03ccc54936415033f9d0298a637e5986305a3d217dc"
            },
            "downloads": -1,
            "filename": "topsis_anadya_102103021-1.0.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "04ebff31cd2b698bc3a7d08dd4686d2b",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 3621,
            "upload_time": "2024-01-23T18:47:21",
            "upload_time_iso_8601": "2024-01-23T18:47:21.301416Z",
            "url": "https://files.pythonhosted.org/packages/9c/e8/047540096cc13d54d26b7d0fcf1cae0daa839dd31aaeb79e7943f553f258/topsis_anadya_102103021-1.0.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ede6e68ef1434868e221e04f1b797cfc055bc5dec59ed67eacb7e1ba8e44154e",
                "md5": "d7d7e4fa7918a6161e617aad2fc199b6",
                "sha256": "b9346b1add4b47f1df212196c9bbf0095e555ab87019c374efe7aa00fc6e10dc"
            },
            "downloads": -1,
            "filename": "topsis_anadya_102103021-1.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "d7d7e4fa7918a6161e617aad2fc199b6",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 3181,
            "upload_time": "2024-01-23T18:47:23",
            "upload_time_iso_8601": "2024-01-23T18:47:23.345953Z",
            "url": "https://files.pythonhosted.org/packages/ed/e6/e68ef1434868e221e04f1b797cfc055bc5dec59ed67eacb7e1ba8e44154e/topsis_anadya_102103021-1.0.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-01-23 18:47:23",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "topsis-anadya-102103021"
}
        
Elapsed time: 0.16867s