A python package enabling you to use HighCharts with Jupyter, HoloViz Panel and the rest of the tools you know and love
Project description
📈 Panel HighCharts
THIS IS APLHA SOFTWARE. I BELIEVE THINGS WORK, BUT THE PACKAGE NEEDS TO BE USED TO TELL. AND USAGE MIGHT ALSO CHANGE THE API. DOES CURRENTLY ONLY WORK IN JUPYTER LAB AND PANEL APP - NOT JUPYTER NOTEBOOK!
The panel-highcharts package makes it easy to use Highcharts from Python for exploratory analysis in a Jupyter Notebook or as a Panel Web App.
License
The panel-highcarts python package and repository is open source and free to use (MIT License), however Highcharts itself requires a license for commercial use. For more info see the Highcharts license FAQs.
Installation
With pip
pip install panel-highcharts
Usage
From with a Jupyter Notebook
import panel_highcharts as ph
import panel as pn
pn.extension('highchart')
configuration = {
"title": {"text": "HighChart Pane"},
"series": [
{
"name": "series1",
"data": [1, 2, 3, 4, 5],
}
]
}
ph.HighChart(object=configuration, sizing_mode="stretch_width")
Reference Guide
https://github.com/marcskovmadsen/panel-highcharts/blob/HEAD/examples/HighChart.ipynb
Examples
Additional Resources
You can find more inspiration via the links below.
Roadmap
When I get the time I would like to
- Get it working in Jupyter Notebook (Works in Jupyter Lab and Panel app).
- Deploy to Binder
- Add more examples
- Add some apps for Binder via jupyter-server-proxy
- Add badges for 100% test coverage etc.
- Distribute as conda package
- Support HighStock
- Support HighMap
- Support HighGantt
- Support HighEditor
Change Log
- 20210403: First Release to PyPi
Release history Release notifications | RSS feed
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Source Distribution
Built Distribution
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