| Name | DataVisual JSON |
| Version |
1.5.0.post0
JSON |
| download |
| home_page | None |
| Summary | A package multidimensional data visualisation. |
| upload_time | 2024-08-30 13:01:25 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT License Copyright (c) 2020 Martin de Sivry Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
data
visualization
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
|logo|
DataVisual
==========
|python|
|coverage|
|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/
.. |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
.. |coverage| image:: https://raw.githubusercontent.com/MartinPdeS/DataVisual/python-coverage-comment-action-data/badge.svg
:alt: Unittest coverage
:target: https://htmlpreview.github.io/?https://github.com/MartinPdeS/DataVisual/blob/python-coverage-comment-action-data/htmlcov/index.html
Raw data
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