Metadata-Version: 2.1
Name: openpy-ts-clu
Version: 0.1.1
Summary: Library for time series clustering
Author: jlara6
Author-email: jlara@iee.unsj.edu.ar
Requires-Python: >=3.10,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: colorama (==0.4.6)
Requires-Dist: contourpy (==1.2.1)
Requires-Dist: cycler (==0.12.1)
Requires-Dist: fonttools (==4.53.0)
Requires-Dist: h5py (==3.11.0)
Requires-Dist: joblib (==1.4.2)
Requires-Dist: kiwisolver (==1.4.5)
Requires-Dist: llvmlite (==0.43.0)
Requires-Dist: matplotlib (==3.9.0)
Requires-Dist: numba (==0.60.0)
Requires-Dist: numpy (==2.0.0)
Requires-Dist: packaging (==24.1)
Requires-Dist: pandas (==2.2.2)
Requires-Dist: pillow (==10.3.0)
Requires-Dist: pyparsing (==3.1.2)
Requires-Dist: python-dateutil (==2.9.0.post0)
Requires-Dist: pytz (==2024.1)
Requires-Dist: scikit-learn (==1.5.0)
Requires-Dist: scipy (==1.13.1)
Requires-Dist: seaborn (==0.13.2)
Requires-Dist: six (==1.16.0)
Requires-Dist: threadpoolctl (==3.5.0)
Requires-Dist: tqdm (==4.66.4)
Requires-Dist: tslearn (==0.6.3)
Requires-Dist: typing (==3.7.4.3)
Requires-Dist: tzdata (==2024.1)
Description-Content-Type: text/markdown

OpenPy-TS-Clu
===========================================
OpenPy-TS-Clu is a Python library based on the development of [OpenTC-AMI](https://sourceforge.net/projects/opentc-ami/) that allows using data mining techniques to obtain models and patterns representative of user groups.

## Installation

With pip

``pip install openpy-ts-clu``

Without pip, clone or download the repository, in the dist folder is the .whl file, copy the location of the file, and in the CMD:

``pip install {path-save-files}/openpy_ts_clu-{version}-py3-none-any.whl’``

<div id='id2'/>

If you have installation problems, you can contact us by email (**jlara@iee.unsj.edu.ar**) or through the same GitHub and according to the error that appears in the console we can give the necessary technical support.

## How to use  <a name="id1"></a>

First, in the IDE (Integrated Development Environment) of preference, we import the library:

```Python
from openpy_ts_clu import clustering_kmeans, scenarios
```

## License

License: CC BY-NC-SA 4.0

<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a><br />

This work has a license <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.

