A Python package for implementing the TOPSIS method
Project description
thapar-102218071-topsis
Description
thapar-102218071-topsis is a Python package that implements the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method. This method is used for ranking and decision-making tasks. The package allows users to apply TOPSIS on datasets with multiple criteria, providing a score and rank for each alternative.
Installation
You can install the package via pip:
pip install thapar-102218071-topsis
## Command Line Usage
python -m my_topsis_package.__main__ <InputDataFile> <Weights> <Impacts> <ResultFileName>
eg
>python -m my_topsis_package.__main__ 102218071.csv "1,1,1,1,1" "+,+,+,+,+" st.csv
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file thapar-102218071-topsis-0.1.tar.gz.
File metadata
- Download URL: thapar-102218071-topsis-0.1.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1de8f7d21f9100ded69c604c79eaf3d204c692d0a55b4127aeffecf75ede445d
|
|
| MD5 |
6611431c5d14a6ec2f273a9711c330ed
|
|
| BLAKE2b-256 |
2b82ee6e79b654206442dd27658e3a9b70f74c5c693ef122e7d716f8f79d3b0d
|
File details
Details for the file thapar_102218071_topsis-0.1-py3-none-any.whl.
File metadata
- Download URL: thapar_102218071_topsis-0.1-py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1a5a9a1a37711f471efbf934f369f720c09ff26ed3accefeba7c690b813239eb
|
|
| MD5 |
bdbc7ea6a0d56f9f75790195cf64ca1c
|
|
| BLAKE2b-256 |
219d8c5188defa8f1a4e130acbf34fb1dac25e0b53745b696b71beab5186ea2a
|