# TOPSIS-Sidharth-102218069
## Overview
This package implements the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method for multi-criteria decision-making. The method ranks alternatives based on their relative closeness to the ideal solution.
## Installation
You can install the package directly from PyPI using the following command:
```bash
pip install topsis-sidharth-102218069
```
## Usage
You can use this package from the command line to calculate TOPSIS scores and rankings for a given dataset.
### Command Line
```bash
topsis_69 <Weights> <Impacts> <InputDataFile> <ResultFileName>
```
### Example
```bash
topsis_69 "1,1,1,2" "+,+,-,+" 102218069-data.csv 102218069-result.csv
```
### Parameters
- `<Weights>`: Comma-separated weights for each criterion.
- `<Impacts>`: Comma-separated impacts for each criterion, where each impact is either `+` (beneficial) or `-` (non-beneficial).
- `<InputDataFile>`: Path to the input CSV file containing the data.
- `<ResultFileName>`: The name of the output CSV file where the results will be saved.
### Sample Input File Format
The input CSV file should have the following structure:
| Fund Name | P1 | P2 | P3 | P4 | P5 |
|-----------|-----|-----|-----|-----|-----|
| M1 | 0.84| 0.71| 6.7 | 42.1| 12.59|
| M2 | 0.91| 0.83| 7.0 | 31.7| 10.11|
| ... | ... | ... | ... | ... | ... |
### Sample Output File Format
The output CSV file will have the following structure:
| Fund Name | P1 | P2 | P3 | P4 | P5 | Topsis Score | Rank |
|-----------|-----|-----|-----|-----|-----|--------------|------|
| M1 | 0.84| 0.71| 6.7 | 42.1| 12.59| 0.3653 | 6 |
| M2 | 0.91| 0.83| 7.0 | 31.7| 10.11| 0.2819 | 8 |
| ... | ... | ... | ... | ... | ... | ... | ... |
## Error Handling
The program will raise an error and terminate if:
- The input file is not found.
- The number of weights and impacts does not match the number of criteria.
- Impacts contain values other than `+` or `-`.
- Weights are not numeric.
## Dependencies
- `pandas`
- `numpy`
These dependencies are automatically installed when you install the package.
## Author
Sidharth Dhawan
## License
This project is licensed under the MIT License.
```
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"description": "# TOPSIS-Sidharth-102218069\r\n\r\n## Overview\r\n\r\nThis package implements the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method for multi-criteria decision-making. The method ranks alternatives based on their relative closeness to the ideal solution.\r\n\r\n## Installation\r\n\r\nYou can install the package directly from PyPI using the following command:\r\n\r\n```bash\r\npip install topsis-sidharth-102218069\r\n```\r\n\r\n## Usage\r\n\r\nYou can use this package from the command line to calculate TOPSIS scores and rankings for a given dataset.\r\n\r\n### Command Line\r\n\r\n```bash\r\ntopsis_69 <Weights> <Impacts> <InputDataFile> <ResultFileName>\r\n```\r\n\r\n### Example\r\n\r\n```bash\r\ntopsis_69 \"1,1,1,2\" \"+,+,-,+\" 102218069-data.csv 102218069-result.csv\r\n```\r\n\r\n### Parameters\r\n\r\n- `<Weights>`: Comma-separated weights for each criterion.\r\n- `<Impacts>`: Comma-separated impacts for each criterion, where each impact is either `+` (beneficial) or `-` (non-beneficial).\r\n- `<InputDataFile>`: Path to the input CSV file containing the data.\r\n- `<ResultFileName>`: The name of the output CSV file where the results will be saved.\r\n\r\n### Sample Input File Format\r\n\r\nThe input CSV file should have the following structure:\r\n\r\n| Fund Name | P1 | P2 | P3 | P4 | P5 |\r\n|-----------|-----|-----|-----|-----|-----|\r\n| M1 | 0.84| 0.71| 6.7 | 42.1| 12.59|\r\n| M2 | 0.91| 0.83| 7.0 | 31.7| 10.11|\r\n| ... | ... | ... | ... | ... | ... |\r\n\r\n### Sample Output File Format\r\n\r\nThe output CSV file will have the following structure:\r\n\r\n| Fund Name | P1 | P2 | P3 | P4 | P5 | Topsis Score | Rank |\r\n|-----------|-----|-----|-----|-----|-----|--------------|------|\r\n| M1 | 0.84| 0.71| 6.7 | 42.1| 12.59| 0.3653 | 6 |\r\n| M2 | 0.91| 0.83| 7.0 | 31.7| 10.11| 0.2819 | 8 |\r\n| ... | ... | ... | ... | ... | ... | ... | ... |\r\n\r\n## Error Handling\r\n\r\nThe program will raise an error and terminate if:\r\n\r\n- The input file is not found.\r\n- The number of weights and impacts does not match the number of criteria.\r\n- Impacts contain values other than `+` or `-`.\r\n- Weights are not numeric.\r\n\r\n## Dependencies\r\n\r\n- `pandas`\r\n- `numpy`\r\n\r\nThese dependencies are automatically installed when you install the package.\r\n\r\n## Author\r\n\r\nSidharth Dhawan\r\n\r\n## License\r\n\r\nThis project is licensed under the MIT License.\r\n```\r\n",
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