TOPSIS-102103268


NameTOPSIS-102103268 JSON
Version 0.0.1 PyPI version JSON
download
home_page
SummaryA Python package to find TOPSIS for multi-criteria decision analysis method
upload_time2024-01-21 19:26:04
maintainer
docs_urlNone
authorJeetesh Rajpal
requires_python
licenseMIT
keywords topsis mcdm tiet
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            Topsis (MCDM)

CalcTopsis is a Python package implementing Topsis method sed for multi-criteria decision analysis.
Topsis stands for Technique for Order of Preference by Similarity to Ideal Solution

Just provide your input attributes and it will give you the results


## Installation

$ pip install TOPSIS-102103268 == 0.0.1
In the commandline, you can write as -
    $ python <package_name> <path to input_data_file_name> <weights as strings> <impacts as strings> <result_file_name>

E.g for input data file as data.csv, command will be like
    $ python topsis.py data.csv "1,1,1,1" "+,+,-,+" output.csv

This will print all the output attribute values along with the Rank column, in a tabular format

License -> MIT

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

0.0.1 (12/11/2020)
------------------
- First Release

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "TOPSIS-102103268",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "topsis,MCDM,TIET",
    "author": "Jeetesh Rajpal",
    "author_email": "jiteshrajal2003@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/42/cd/8facfa7d893861aa91e5f2e0c9c2fefe1d203f053ff0df031fda41f8bead/TOPSIS-102103268-0.0.1.tar.gz",
    "platform": null,
    "description": "Topsis (MCDM)\r\n\r\nCalcTopsis is a Python package implementing Topsis method sed for multi-criteria decision analysis.\r\nTopsis stands for Technique for Order of Preference by Similarity to Ideal Solution\r\n\r\nJust provide your input attributes and it will give you the results\r\n\r\n\r\n## Installation\r\n\r\n$ pip install TOPSIS-102103268 == 0.0.1\r\nIn the commandline, you can write as -\r\n    $ python <package_name> <path to input_data_file_name> <weights as strings> <impacts as strings> <result_file_name>\r\n\r\nE.g for input data file as data.csv, command will be like\r\n    $ python topsis.py data.csv \"1,1,1,1\" \"+,+,-,+\" output.csv\r\n\r\nThis will print all the output attribute values along with the Rank column, in a tabular format\r\n\r\nLicense -> MIT\r\n\r\nChange Log\r\n==========\r\n\r\n0.0.1 (12/11/2020)\r\n------------------\r\n- First Release\r\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "A Python package to find TOPSIS for multi-criteria decision analysis method",
    "version": "0.0.1",
    "project_urls": null,
    "split_keywords": [
        "topsis",
        "mcdm",
        "tiet"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b693e7ea2141fa68ff4b30beae4f71a80b0fd95ca5dbf48924ebc62cf767e033",
                "md5": "8b52bbca49acc21041dafb5470e9b83e",
                "sha256": "193a2c16ef8d67784e48b3784dd68c4640e61944d842cdc98e1c85a6eb1d2bc8"
            },
            "downloads": -1,
            "filename": "TOPSIS_102103268-0.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "8b52bbca49acc21041dafb5470e9b83e",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 2579,
            "upload_time": "2024-01-21T19:26:02",
            "upload_time_iso_8601": "2024-01-21T19:26:02.402536Z",
            "url": "https://files.pythonhosted.org/packages/b6/93/e7ea2141fa68ff4b30beae4f71a80b0fd95ca5dbf48924ebc62cf767e033/TOPSIS_102103268-0.0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "42cd8facfa7d893861aa91e5f2e0c9c2fefe1d203f053ff0df031fda41f8bead",
                "md5": "00cbf11351980cb63656df4308a5ff39",
                "sha256": "cf31a914541dda03c6b19172d710a87c45913ac1db16df521011b1da2c7e3dd3"
            },
            "downloads": -1,
            "filename": "TOPSIS-102103268-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "00cbf11351980cb63656df4308a5ff39",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 2417,
            "upload_time": "2024-01-21T19:26:04",
            "upload_time_iso_8601": "2024-01-21T19:26:04.569634Z",
            "url": "https://files.pythonhosted.org/packages/42/cd/8facfa7d893861aa91e5f2e0c9c2fefe1d203f053ff0df031fda41f8bead/TOPSIS-102103268-0.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-01-21 19:26:04",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "topsis-102103268"
}
        
Elapsed time: 2.96756s