## Topsis Python Package
TopsisPy is a Python Package implementing Topsis method used for multi-criteria decision analysis. Topsis stands for 'Technique for Order of Preference by Similarity to Ideal Solution'.
TopsisPy intends to make the process of TOPSIS simple in python. Key features of the package are -
- Easy to use
- Numpy based
- Ideal for Students
## Installation
Install the Package using the command -
```bash
$ pip install topsisnandinise102017121
```
You may use the Package via commandline as
```bash
$ topsis [path of csv] [weights as string] [impacts as string] [path of result csv as string]
Raw data
{
"_id": null,
"home_page": "https://github.com/nandinisetia/topsis",
"name": "topsisnandinise102017121",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "topsis,mcda,TIET",
"author": "Nandini Setia",
"author_email": "nandinisetia003@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/1f/22/e776e5f6c1c1ce9d4932c2dd468b9031a8103e9564df62ddc0cefa22b695/topsisnandinise102017121-0.0.1.tar.gz",
"platform": null,
"description": "\r\n## Topsis Python Package\r\n\r\nTopsisPy is a Python Package implementing Topsis method used for multi-criteria decision analysis. Topsis stands for 'Technique for Order of Preference by Similarity to Ideal Solution'.\r\n\r\nTopsisPy intends to make the process of TOPSIS simple in python. Key features of the package are -\r\n\r\n- Easy to use \r\n- Numpy based \r\n- Ideal for Students\r\n\r\n## Installation\r\n\r\nInstall the Package using the command -\r\n\r\n```bash\r\n $ pip install topsisnandinise102017121\r\n```\r\n \r\n\r\nYou may use the Package via commandline as\r\n```bash\r\n $ topsis [path of csv] [weights as string] [impacts as string] [path of result csv as string]\r\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "This is a Python Package implementing TOPSIS",
"version": "0.0.1",
"split_keywords": [
"topsis",
"mcda",
"tiet"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "68ea1d288bfd0fe3b2884a20ad37aefae8bce48da3a33defddf3ac2877a928eb",
"md5": "8f0c26a2ddd0fea14485bbe31d18735d",
"sha256": "29c6091c932f3259de33a88aee00790790a0b3e976a8308f4e6d89b3ab20d713"
},
"downloads": -1,
"filename": "topsisnandinise102017121-0.0.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "8f0c26a2ddd0fea14485bbe31d18735d",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 4156,
"upload_time": "2023-01-22T06:11:50",
"upload_time_iso_8601": "2023-01-22T06:11:50.377032Z",
"url": "https://files.pythonhosted.org/packages/68/ea/1d288bfd0fe3b2884a20ad37aefae8bce48da3a33defddf3ac2877a928eb/topsisnandinise102017121-0.0.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "1f22e776e5f6c1c1ce9d4932c2dd468b9031a8103e9564df62ddc0cefa22b695",
"md5": "f5c687e355437c3ccfd69529d8572cc0",
"sha256": "a5c0543c1f7d3f6bc38c29795d4766aefcbfb0e1c4296dba6ed23952231cbd19"
},
"downloads": -1,
"filename": "topsisnandinise102017121-0.0.1.tar.gz",
"has_sig": false,
"md5_digest": "f5c687e355437c3ccfd69529d8572cc0",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3747,
"upload_time": "2023-01-22T06:11:52",
"upload_time_iso_8601": "2023-01-22T06:11:52.739079Z",
"url": "https://files.pythonhosted.org/packages/1f/22/e776e5f6c1c1ce9d4932c2dd468b9031a8103e9564df62ddc0cefa22b695/topsisnandinise102017121-0.0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-01-22 06:11:52",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "nandinisetia",
"github_project": "topsis",
"lcname": "topsisnandinise102017121"
}