Metadata-Version: 2.1
Name: DataVisual
Version: 1.3.2
Summary: A package multidimensional data visualisation.
Home-page: https://github.com/MartinPdeS/DataVisual
Author: Martin Poinsinet de Sivry
Author-email: Martin.poinsinet.de.sivry@gmail.com
License: MIT
Platform: unix
Platform: linux
Platform: osx
Platform: windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: numpy >=1.26.0
Requires-Dist: MPSPlots >=1.4.2
Provides-Extra: documentation
Requires-Dist: numpydoc ==1.6.0 ; extra == 'documentation'
Requires-Dist: sphinx >=5.1.1 ; extra == 'documentation'
Requires-Dist: sphinx-gallery ==0.15.0 ; extra == 'documentation'
Requires-Dist: sphinx-rtd-theme ==2.0.0 ; extra == 'documentation'
Requires-Dist: pydata-sphinx-theme ==0.14.1 ; extra == 'documentation'
Provides-Extra: testing
Requires-Dist: pytest >=0.6 ; extra == 'testing'
Requires-Dist: pytest-cov >=2.0 ; extra == 'testing'
Requires-Dist: pytest-json-report ==1.5.0 ; extra == 'testing'
Requires-Dist: mypy >=0.910 ; extra == 'testing'
Requires-Dist: flake8 >=3.9 ; extra == 'testing'
Requires-Dist: tox >=3.24 ; extra == 'testing'
Requires-Dist: coverage ==6.5.0 ; extra == 'testing'

|logo|

DataVisual
==========

|python|
|unittest|
|docs|
|PyPi|
|PyPi_download|


Personal high-dimensional package
---------------------------------

DataVisual is a package designed to streamline your data visualization process, offering a simplified interface for creating complex plots with ease.

**Installation**

Install DataVisual directly from PyPi:

.. code:: shell

    pip install DataVisual

**Getting Started**

For coding examples and how to get started, please visit the [examples section](https://datavisual.readthedocs.io/en/master/gallery/index.html) of our documentation.

**Local Testing**

To contribute or test locally, clone the GitHub repository and install the required dependencies:

.. code:: shell

    git clone https://github.com/MartinPdeS/DataVisual.git
    cd DataVisual
    pip install -r requirements/requirements.txt
    coverage run --source=DataVisual --module pytest --verbose tests
    coverage report --show-missing

**Contact Information**

DataVisual is actively being developed by Martin Poinsinet de Sivry-Houle. If you're interested in collaborating or have questions, feel free to reach out:

- [GitHub](https://github.com/MartinPdS)
- [Email](mailto:martin.poinsinet-de-sivry@polymtl.ca?subject=DataVisual)

DataVisual aims to continuously improve and welcomes contributions from the community.


.. |Logo| image:: https://github.com/MartinPdeS/DataVisual/raw/master/docs/images/logo.png

.. |python| image:: https://img.shields.io/pypi/pyversions/datavisual.svg
   :target: https://www.python.org/
.. |unittest| image:: https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/MartinPdeS/f0955be398d59efac69042c1b0fbece2/raw/06ffc2ef9781e62f4eb489a45fed5e3d1739ce25/DataVisualcoverage_badge.json
.. |docs| image:: https://readthedocs.org/projects/datavisual/badge/?version=latest
   :target: https://datavisual.readthedocs.io/en/latest/
.. |PyPi| image:: https://badge.fury.io/py/DataVisual.svg
   :target: https://pypi.org/project/DataVisual/
.. |PyPi_download| image:: https://img.shields.io/pypi/dm/datavisual.svg
   :target: https://pypistats.org/packages/datavisual
