TopsisPy
TopsisPy 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'.
TopsisPy 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 offcourse, PyTopsis code is Open Source.
How to use?
Install the Package using the command -
$ pip install topsispy
And using the in python as -
>>> import topsispy as tp
>>> a =[
... [250, 16, 12, 5],
... [200, 16, 8, 3],
... [300, 32, 16, 4],
... [275, 32, 8, 4],
... [225, 16, 16, 2]
... ]
>>> w = [0.25, 0.25, 0.25, 0.25]
>>> sign = [-1, 1, 1, 1]
>>> tp.topsis(a, w, sign)
This will return a tuple with
- the index of winning data point
- array containing scores of all data points As for above -
(2, array([0.53427686, 0.30836777, 0.69163223, 0.53473658, 0.40104612]))
Development
Want to contribute? Great! Use your Python skills and creativity for easy decision making for the world.
License
MIT
Free Software, Hell Yeah!
Metadata
Release files for topsispy 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| topsispy-0.0.1.tar.gz | 2.8 kB | Without provenance | Details for topsispy-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| topsispy-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for topsispy-0.0.1-py3-none-any.whl |
Total release size: 6.5 kB
Release files / topsispy-0.0.1.tar.gz
| Download URL | topsispy-0.0.1.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c68c2704a7a2b5a9107e47f4d67b0f3154f8c124c264ac4a94e12481d8aee8a5
|
|
BLAKE2b-256 checksum How to use checksums |
f1293fbaf109d305d6052d27efe8a950afa336f4d96e0c1ccdf1aa03ad829453
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.2
|
Release files / topsispy-0.0.1-py3-none-any.whl
| Download URL | topsispy-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
839e034c0147dc79d42171b61f8e90a8bf17b5cab26ace255108925ea105f7c4
|
|
BLAKE2b-256 checksum How to use checksums |
37a087b62ff121075614584d9e78434ac2904e91f832b83118e5e2bf9d1f6867
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.2
|
Security for topsispy 0.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.