# Topsis_Diksha_102016116
Topsis_Diksha_102016116 is a Python Package implementing [Topsis](https://www.sciencedirect.com/science/article/pii/S277266222100014X#:~:text=TOPSIS%20is%20based%20on%20the,distances%20from%20the%20ideal%20solutions.) method used for multi-criteria decision analysis.
Topsis stands for 'Technique for Order of Preference by Similarity to Ideal Solution'.
## Installation
Install the Package using the command -
```s
$ pip install Topsis_Diksha_102016116
```
## Example
|Fund Name P1 P2 P3 P4 P5 |
|-----------------------------------------|
|0 M1 0.81 0.66 7.0 57.6 16.52|
|1 M2 0.69 0.48 5.4 60.7 16.82|
|2 M3 0.76 0.58 3.5 40.8 11.41|
|3 M4 0.74 0.55 3.1 66.8 17.80|
|4 M5 0.80 0.64 5.9 53.3 15.16|
|5 M6 0.95 0.90 3.8 62.8 17.11|
|6 M7 0.81 0.66 3.0 32.6 9.27|
|7 M8 0.62 0.38 4.2 51.9 14.28|
weights : [1,1,1,1,1]
impacts : [+,-,+,-,+]
**input:** 102016116.csv
```s
python -m Topsis_Diksha_102016116.topsis102016116 "C:\Users\Diksha\Downloads\102016116.csv" "1,1,1,1,1" "+,-,+,-,+" "C:\Users\Diksha\Downloads\102016116-result.csv"
```
**output:** 102016116-result.csv
|Fund Name P1 P2 P3 P4 P5 Performance Rank |
|------------------------------------------------------------|
|0 M1 0.81 0.66 7.0 57.6 16.52 0.619058 1|
|1 M2 0.69 0.48 5.4 60.7 16.82 0.578429 2|
|2 M3 0.76 0.58 3.5 40.8 11.41 0.437109 5|
|3 M4 0.74 0.55 3.1 66.8 17.80 0.422480 6|
|4 M5 0.80 0.64 5.9 53.3 15.16 0.577352 3|
|5 M6 0.95 0.90 3.8 62.8 17.11 0.364704 8|
|6 M7 0.81 0.66 3.0 32.6 9.27 0.406832 7|
|7 M8 0.62 0.38 4.2 51.9 14.28 0.534840 4|
## License
MIT
**Free Software, Hell Yeah!**
## License
MIT
**Free Software, Hell Yeah!**
Raw data
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"description": "# Topsis_Diksha_102016116\r\nTopsis_Diksha_102016116 is a Python Package implementing [Topsis](https://www.sciencedirect.com/science/article/pii/S277266222100014X#:~:text=TOPSIS%20is%20based%20on%20the,distances%20from%20the%20ideal%20solutions.) method used for multi-criteria decision analysis.\r\nTopsis stands for 'Technique for Order of Preference by Similarity to Ideal Solution'.\r\n\r\n## Installation\r\nInstall the Package using the command - \r\n```s\r\n$ pip install Topsis_Diksha_102016116\r\n```\r\n## Example\r\n|Fund Name P1 P2 P3 P4 P5 |\r\n|-----------------------------------------|\r\n|0 M1 0.81 0.66 7.0 57.6 16.52| \r\n|1 M2 0.69 0.48 5.4 60.7 16.82| \r\n|2 M3 0.76 0.58 3.5 40.8 11.41| \r\n|3 M4 0.74 0.55 3.1 66.8 17.80| \r\n|4 M5 0.80 0.64 5.9 53.3 15.16| \r\n|5 M6 0.95 0.90 3.8 62.8 17.11| \r\n|6 M7 0.81 0.66 3.0 32.6 9.27| \r\n|7 M8 0.62 0.38 4.2 51.9 14.28| \r\n\r\nweights : [1,1,1,1,1]\r\nimpacts : [+,-,+,-,+]\r\n\r\n**input:** 102016116.csv\r\n```s\r\npython -m Topsis_Diksha_102016116.topsis102016116 \"C:\\Users\\Diksha\\Downloads\\102016116.csv\" \"1,1,1,1,1\" \"+,-,+,-,+\" \"C:\\Users\\Diksha\\Downloads\\102016116-result.csv\"\r\n```\r\n\r\n**output:** 102016116-result.csv\r\n|Fund Name P1 P2 P3 P4 P5 Performance Rank |\r\n|------------------------------------------------------------|\r\n|0 M1 0.81 0.66 7.0 57.6 16.52 0.619058 1|\r\n|1 M2 0.69 0.48 5.4 60.7 16.82 0.578429 2|\r\n|2 M3 0.76 0.58 3.5 40.8 11.41 0.437109 5|\r\n|3 M4 0.74 0.55 3.1 66.8 17.80 0.422480 6|\r\n|4 M5 0.80 0.64 5.9 53.3 15.16 0.577352 3|\r\n|5 M6 0.95 0.90 3.8 62.8 17.11 0.364704 8|\r\n|6 M7 0.81 0.66 3.0 32.6 9.27 0.406832 7|\r\n|7 M8 0.62 0.38 4.2 51.9 14.28 0.534840 4|\r\n\r\n\r\n## License\r\n\r\nMIT\r\n\r\n**Free Software, Hell Yeah!**\r\n\r\n## License\r\n\r\nMIT\r\n\r\n**Free Software, Hell Yeah!**\r\n",
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