| Name | datachart JSON |
| Version |
0.6.3
JSON |
| download |
| home_page | None |
| Summary | The customizable data chart creation package |
| upload_time | 2024-10-17 19:11:55 |
| maintainer | Erik Novak |
| docs_url | None |
| author | Erik Novak |
| requires_python | >=3.8 |
| license | BSD 3-Clause License Copyright (c) 2023, Erik Novak Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
python
dataviz
visualization
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<p align="center">
<img src="https://raw.githubusercontent.com/eriknovak/datachart/main/docs/assets/imgs/logo.png" alt="logo" height="200" style="height:200px">
</p>
<p align="center">
<i>Data visualization package, simple to use, highly customizable</i>
</p>
<p align="center">
<a href="https://github.com/eriknovak/datachart/actions/workflows/unittests.yaml" target="_blank"><img
src="https://github.com/eriknovak/datachart/actions/workflows/unittests.yaml/badge.svg" alt="Test"
/></a>
<a href="https://pypi.org/project/datachart" target="_blank"><img
src="https://img.shields.io/pypi/v/datachart?color=%2334D058" alt="Package Package Index"
/></a>
<a href="https://pypi.org/project/datachart" target="_blank"><img
src="https://img.shields.io/pypi/pyversions/datachart.svg?color=%2334D058" alt="Supported Python Versions"
/></a>
</p>
---
**Documentation:** [https://eriknovak.github.io/datachart](https://eriknovak.github.io/datachart)
**Source code:** [https://github.com/eriknovak/datachart](https://github.com/eriknovak/datachart)
---
The datachart package is a python package for creating data visualizations. It is designed to be simple to use and highly customizable, i.e. it is easy to change the look and feel of the charts.
## Requirements
Before starting the project make sure these requirements are available:
- [python]. The python programming language (v3.8 or higher).
## Install
```bash
pip install datachart
```
## Upgrade
```bash
pip install datachart --upgrade
```
## Examples
The examples showcases on how to use the `datachart` package are available
on the official [How-to Guides](https://eriknovak.github.io/datachart/how-to-guides/).
## Acknowledgements
[Datachart](https://eriknovak.github.io/datachart/) is developed by the
[Department for Artificial Intelligence](http://ailab.ijs.si/) at the
[Jozef Stefan Institute](http://www.ijs.si/), and other contributors.
<figure >
<img src="https://github.com/eriknovak/datachart/blob/main/docs/assets/imgs/EU.png?raw=true" alt="European Union flag" width="80" />
</figure>
[python]: https://www.python.org/
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