semvec/pypi-packages huggingface dataset:
Topsis-Anureet-Kaur-102003146 0.0.2
TOPSIS Implementation in Python.
License: MIT

# TOPSIS-Python

**Assignment-1**


Submitted By: **Anureet Kaur 102003146**

***
<br>
## Installation

```
>> pip install Topsis-Anureet-102003146
````
<br>
## Usage

```
>> topsis 102003146-data.csv "1,1,1,1,1" "+,+,+,-,+" 102003146-result.csv
```
<br>
## Sample dataset 102003146-data.csv
```
Fund Name	P1	P2	P3	P4	P5	Topsis Score	Rank
M1	0.85	0.72	6.5	49.3	14.34	0.661086394	1
M2	0.74	0.55	6.6	69.4	19.32	0.532278586	4
M3	0.66	0.44	6.1	47.7	13.73	0.473141361	5
M4	0.88	0.77	4.5	47.6	13.44	0.550101639	2
M5	0.75	0.56	3.8	58.3	15.85	0.364566446	7
M6	0.67	0.45	3.7	54.5	14.83	0.305350114	8
M7	0.91	0.83	4.1	33.4	9.81	0.544098949	3
M8	0.87	0.76	3.3	62.2	16.78	0.457451256	6
```

<br>
weights=[1 , 1 , 1 , 1 , 1]

impacts=[+, +, +, -, +]

## Input
```
>> topsis 102003146-data.csv "1,1,1,1,1" "+,+,+,-,+" 102003146-result.csv
```

## Output

```
  Row_NO  Performance_Score  Rank
0       1           0.661086     1
1       2           0.532279     4
2       3           0.473141     5
3       4           0.550102     2
4       5           0.364566     7
5       6           0.305350     8
6       7           0.544099     3
7       8           0.457451     6

```