102003037-topsis


Name102003037-topsis JSON
Version 0.0.1 PyPI version JSON
download
home_page
SummaryTopsis
upload_time2023-01-22 16:34:03
maintainer
docs_urlNone
authorHimangi Sharma
requires_python
license
keywords python topsis
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# 102003037 TOPSIS PACKAGE HIMANGI SHARMA
Roll Number : 102003037 <br>
Subgroup : 3COE18 <br>
The program takes csv file containing our data to be ranked, weights and impacts in the form of "+" or "-", seperated by commas as inputs and then outputs a resultant csv file with two additional columns of performance score and Ranks.

# What is TOPSIS
TOPSIS, Technique of Order Preference Similarity to the Ideal Solution, is a multi-criteria decision analysis method (MCDA). <br>
It chooses the alternative of shortest the Euclidean distance from the ideal solution and greatest distance from the negative ideal solution. <br>

## Installation
### How to install the TOPSIS package <br>
using pip install:-<br>
``` pip install 102003037-topsis-Himangi ```

## For Calculating the TOPSIS Score
Open terminal and type <br>
``` 102003037 102003037-data.csv "1,1,1,1" "+,+,-,+" 102003037-output.csv ```

The output will then be saved in a newly created CSV file whose name will be provided in the command line by the user.

## Input File [102003037-data.csv]:
Topsis mathematical operations to be performed on the input file which contains a dataset having different fields.

## Weights ["1,1,1,1"]
The weights to assigned to the different parameters in the dataset should be passed in the argument, seperated by commas.

## Impacts ["+,+,-,+"]:
The impacts are passed to consider which parameters have a positive impact on the decision and which one have the negative impact. Only '+' and '-' values should be passed and should be seperated with ',' only.

## Output File [102003037-output.csv]:
This argument is used to pass the path of the result file where we want the rank and performance score to be stored.





            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "102003037-topsis",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "python,topsis",
    "author": "Himangi Sharma",
    "author_email": "hsharma1_be20@thapar.edu",
    "download_url": "https://files.pythonhosted.org/packages/91/bd/2ee96ada96bcd31a95554d52702ac1a2545e43cfdbb848e1ed3f26f91605/102003037-topsis-0.0.1.tar.gz",
    "platform": null,
    "description": "\n# 102003037 TOPSIS PACKAGE HIMANGI SHARMA\nRoll Number : 102003037 <br>\nSubgroup : 3COE18 <br>\nThe program takes csv file containing our data to be ranked, weights and impacts in the form of \"+\" or \"-\", seperated by commas as inputs and then outputs a resultant csv file with two additional columns of performance score and Ranks.\n\n# What is TOPSIS\nTOPSIS, Technique of Order Preference Similarity to the Ideal Solution, is a multi-criteria decision analysis method (MCDA). <br>\nIt chooses the alternative of shortest the Euclidean distance from the ideal solution and greatest distance from the negative ideal solution. <br>\n\n## Installation\n### How to install the TOPSIS package <br>\nusing pip install:-<br>\n``` pip install 102003037-topsis-Himangi ```\n\n## For Calculating the TOPSIS Score\nOpen terminal and type <br>\n``` 102003037 102003037-data.csv \"1,1,1,1\" \"+,+,-,+\" 102003037-output.csv ```\n\nThe output will then be saved in a newly created CSV file whose name will be provided in the command line by the user.\n\n## Input File [102003037-data.csv]:\nTopsis mathematical operations to be performed on the input file which contains a dataset having different fields.\n\n## Weights [\"1,1,1,1\"]\nThe weights to assigned to the different parameters in the dataset should be passed in the argument, seperated by commas.\n\n## Impacts [\"+,+,-,+\"]:\nThe impacts are passed to consider which parameters have a positive impact on the decision and which one have the negative impact. Only '+' and '-' values should be passed and should be seperated with ',' only.\n\n## Output File [102003037-output.csv]:\nThis argument is used to pass the path of the result file where we want the rank and performance score to be stored.\n\n\n\n\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "Topsis",
    "version": "0.0.1",
    "split_keywords": [
        "python",
        "topsis"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b518983b63dec4fd384f3d5e4931ac770a22f4a3c38e772ef56422368fa0407d",
                "md5": "2624ae0326ad83bdba89f6fab64831d0",
                "sha256": "547e09266876f89cd4a1c3dd3730b8257481aefe05049920c8412f259f734afe"
            },
            "downloads": -1,
            "filename": "102003037_topsis-0.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "2624ae0326ad83bdba89f6fab64831d0",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 2885,
            "upload_time": "2023-01-22T16:34:01",
            "upload_time_iso_8601": "2023-01-22T16:34:01.296332Z",
            "url": "https://files.pythonhosted.org/packages/b5/18/983b63dec4fd384f3d5e4931ac770a22f4a3c38e772ef56422368fa0407d/102003037_topsis-0.0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "91bd2ee96ada96bcd31a95554d52702ac1a2545e43cfdbb848e1ed3f26f91605",
                "md5": "7268fb2da0b5b95fa990aa1e20534bd3",
                "sha256": "eb4d3ef4c35d57888a620d78f7dbbbf592fda023b5b5f2a7950986dbb3ebe514"
            },
            "downloads": -1,
            "filename": "102003037-topsis-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "7268fb2da0b5b95fa990aa1e20534bd3",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 2883,
            "upload_time": "2023-01-22T16:34:03",
            "upload_time_iso_8601": "2023-01-22T16:34:03.488328Z",
            "url": "https://files.pythonhosted.org/packages/91/bd/2ee96ada96bcd31a95554d52702ac1a2545e43cfdbb848e1ed3f26f91605/102003037-topsis-0.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-01-22 16:34:03",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "102003037-topsis"
}
        
Elapsed time: 0.04243s