# Topsis-Ravinshu-102003156
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria-based decision-making method.
Topsis-Ravinshu-102003156 is a python package used for dealing with Multiple Criteria Decision Making (MCDM) problems.
## Installation
Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.
```bash
pip install Topsis-Ravinshu-102003156
```
## Usage
Open any command line and type the following command:
```
topsis [data file] [weight] [impact] [output file]
```
Eg. topsis 102003156-data.csv "1,1,1,1,1" "+,+,-,+,+" 102003156-result.csv
## Output
The output file contains columns of input file along with two additional columns having Topsis_score and Rank
Raw data
{
"_id": null,
"home_page": "",
"name": "Topsis-Ravinshu-102003156",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "python,TOPSIS,MCDM,MCDA,statistics,prescriptive analytics,cli",
"author": "Ravinshu Kushwaha",
"author_email": "rv.kushwaha01@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/b7/c6/5f46e181c12648c8b7eb10e527afbd90f249ed69e43af779c1823f2948fd/Topsis-Ravinshu-102003156-1.1.0.tar.gz",
"platform": null,
"description": "# Topsis-Ravinshu-102003156\r\n\r\nTechnique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria-based decision-making method.\r\nTopsis-Ravinshu-102003156 is a python package used for dealing with Multiple Criteria Decision Making (MCDM) problems.\r\n\r\n## Installation\r\n\r\nUse the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.\r\n\r\n```bash\r\npip install Topsis-Ravinshu-102003156\r\n```\r\n\r\n## Usage\r\n\r\nOpen any command line and type the following command:\r\n\r\n```\r\ntopsis [data file] [weight] [impact] [output file]\r\n```\r\n\r\nEg. topsis 102003156-data.csv \"1,1,1,1,1\" \"+,+,-,+,+\" 102003156-result.csv\r\n\r\n## Output\r\n\r\nThe output file contains columns of input file along with two additional columns having Topsis_score and Rank\r\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "A convenient python package for Topsis rank and score calculation for a given dataset, weights and impacts",
"version": "1.1.0",
"split_keywords": [
"python",
"topsis",
"mcdm",
"mcda",
"statistics",
"prescriptive analytics",
"cli"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "72611aef22767fdb75769638743d002fd7fd06697a34202e1af69a5714b5f4b2",
"md5": "33422897f2f2b4acc5b8497aa7d71d7b",
"sha256": "5785047886461073eecea375bfb61db2ee02c7bc75bffe73194dac851a47dca6"
},
"downloads": -1,
"filename": "Topsis_Ravinshu_102003156-1.1.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "33422897f2f2b4acc5b8497aa7d71d7b",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 4318,
"upload_time": "2023-01-22T11:34:46",
"upload_time_iso_8601": "2023-01-22T11:34:46.017296Z",
"url": "https://files.pythonhosted.org/packages/72/61/1aef22767fdb75769638743d002fd7fd06697a34202e1af69a5714b5f4b2/Topsis_Ravinshu_102003156-1.1.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "b7c65f46e181c12648c8b7eb10e527afbd90f249ed69e43af779c1823f2948fd",
"md5": "5c5c665f1f9e677390b55580258dcff3",
"sha256": "0fb3ad473ec3302ccf4ea0483217d5ab60d68886e8a423ff7e28260dc5b9f451"
},
"downloads": -1,
"filename": "Topsis-Ravinshu-102003156-1.1.0.tar.gz",
"has_sig": false,
"md5_digest": "5c5c665f1f9e677390b55580258dcff3",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 3766,
"upload_time": "2023-01-22T11:34:48",
"upload_time_iso_8601": "2023-01-22T11:34:48.233894Z",
"url": "https://files.pythonhosted.org/packages/b7/c6/5f46e181c12648c8b7eb10e527afbd90f249ed69e43af779c1823f2948fd/Topsis-Ravinshu-102003156-1.1.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-01-22 11:34:48",
"github": false,
"gitlab": false,
"bitbucket": false,
"lcname": "topsis-ravinshu-102003156"
}
JSON