A Python package for implementing TOPSIS.
Project description
Topsis-Preet-102203748
Topsis-Preet is a Python Package implementing Topsis method used for multi-criteria decision analysis. Topsis stands for 'Technique for Order of Preference by Similarity to Ideal Solution'.
TopsisPreet intends to make the process of TOPSIS simple in python. Key features of the package are -
- Easy to use
- Numpy based
- Ideal for Students
And off course, PyTopsis code is Open Source.
Installation
Use the package manager pip to install Topsis-Preet.
pip install topsis-preet-102203748
Usage
$ python [package name] [path of csv as string] [list of weights as string] [list of impaces as string] [output file name as csv]
ex: for sample
$ python topsis-preet-102203748 102203748-data.csv "1,1,1,1,1" "+,+,+,+,+" 102203748-result.csv
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
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 Topsis-Preet-102203748-1.tar.gz.
File metadata
- Download URL: Topsis-Preet-102203748-1.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
138c359146ca2ade24ca1103f316eb39bb4eaa6e79a7042951a6c25f9ea01e07
|
|
| MD5 |
e98c855e777b06a66691aee3fbbc14b0
|
|
| BLAKE2b-256 |
ed12a3d1ae846cc703c85ee3d12315bf1ec65973b2fe4e6c4a2828e87353a82d
|
File details
Details for the file Topsis_Preet_102203748-1-py3-none-any.whl.
File metadata
- Download URL: Topsis_Preet_102203748-1-py3-none-any.whl
- Upload date:
- Size: 4.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0597d8399097b05121568618a17ee27c45ed69012ead14483e7ff81c22fdeef9
|
|
| MD5 |
72ab19de937079a363cb76040936dee9
|
|
| BLAKE2b-256 |
6fe4fbb5ada2c3f0673b3911ae84eacb3e7e3f8abf347dd088888918606acf00
|