# Topsis-Nitish-102117203 0.0.1
It takes a csv file as an input and also gives csv file as output
## Installation
```pip install topsis-Nitish-10211703```
## How to use it?
python data.csv weights impacts output.csv
where :
```data.csv -> file on which topsis to be performed
weights -> list of weights (only numeric columns are considered, rest are ignored)
impacts -> impact list ("+" for columns that are to be maximized, "-" for columns to be minimized, for example ["-","+","+","+"])
output.csv -> file obtained as output
```
## License
© 2024 Nitish Jolly
This repository is licensed under the MIT license. See LICENSE for details.
Raw data
{
"_id": null,
"home_page": "https://github.com/nitish027/Topsis-Nitish-102117203",
"name": "Topsis-Nitish-102117203",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "topsis,Decision Making,Data Analytics",
"author": "Nitish Jolly",
"author_email": "nitishjolly16@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/55/83/d447b388f943b8929130c3444006cd3fdfa0e814b8004d58536e027af264/Topsis-Nitish-102117203-0.0.1.tar.gz",
"platform": null,
"description": "# Topsis-Nitish-102117203 0.0.1\r\nIt takes a csv file as an input and also gives csv file as output\r\n\r\n## Installation\r\n```pip install topsis-Nitish-10211703```\r\n\r\n## How to use it?\r\npython data.csv weights impacts output.csv\r\n\r\nwhere :\r\n\r\n```data.csv -> file on which topsis to be performed\r\n\r\nweights -> list of weights (only numeric columns are considered, rest are ignored)\r\n\r\nimpacts -> impact list (\"+\" for columns that are to be maximized, \"-\" for columns to be minimized, for example [\"-\",\"+\",\"+\",\"+\"])\r\n\r\noutput.csv -> file obtained as output\r\n```\r\n\r\n## License\r\n\r\n\u00c2\u00a9 2024 Nitish Jolly\r\n\r\nThis repository is licensed under the MIT license. See LICENSE for details.\r\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Calculates the topsis score",
"version": "0.0.1",
"project_urls": {
"Homepage": "https://github.com/nitish027/Topsis-Nitish-102117203"
},
"split_keywords": [
"topsis",
"decision making",
"data analytics"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "0ac91523c12784c1d9df27d31a3c1625c9c490a67854451447eb6da5c6390546",
"md5": "773aadb940c12a1618ed43e2816a05aa",
"sha256": "909d18cd4350937f0bfe97430228070878ec27b9d04ce6dc26010338b1d19a8d"
},
"downloads": -1,
"filename": "Topsis_Nitish_102117203-0.0.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "773aadb940c12a1618ed43e2816a05aa",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 2631,
"upload_time": "2024-01-28T14:10:52",
"upload_time_iso_8601": "2024-01-28T14:10:52.951576Z",
"url": "https://files.pythonhosted.org/packages/0a/c9/1523c12784c1d9df27d31a3c1625c9c490a67854451447eb6da5c6390546/Topsis_Nitish_102117203-0.0.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5583d447b388f943b8929130c3444006cd3fdfa0e814b8004d58536e027af264",
"md5": "859cef1668be00a5de3275c08da8b16a",
"sha256": "5c0c9549e85669c30e3b0e4a3c1940c3ba56802ac61c2dff4ee16716127bd9e4"
},
"downloads": -1,
"filename": "Topsis-Nitish-102117203-0.0.1.tar.gz",
"has_sig": false,
"md5_digest": "859cef1668be00a5de3275c08da8b16a",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 2890,
"upload_time": "2024-01-28T14:10:54",
"upload_time_iso_8601": "2024-01-28T14:10:54.385743Z",
"url": "https://files.pythonhosted.org/packages/55/83/d447b388f943b8929130c3444006cd3fdfa0e814b8004d58536e027af264/Topsis-Nitish-102117203-0.0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-01-28 14:10:54",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "nitish027",
"github_project": "Topsis-Nitish-102117203",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "topsis-nitish-102117203"
}
JSON
