panel-highcharts 20210405.1

A python package enabling you to use HighCharts with Jupyter, HoloViz Panel and the rest of the tools you know and love

📈 Panel HighCharts

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.

Check out the panel-highcharts examples on Binder

Jupyter Notebook	Jupyter Labs	Panel Apps

THIS IS APLHA SOFTWARE. I BELIEVE THINGS WORK, BUT THE PACKAGE NEEDS TO BE USED TO TELL. AND USAGE MIGHT ALSO CHANGE THE API.

License

The panel-highcharts 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 Guides

• HighChart

• HighStock

• HighMap

• HighGantt

Examples

• Networkgraph

Additional Resources

You can find more inspiration via the links below.

• Highcharts
  • Demos
• Panel
• Awesome Panel

Roadmap

When I get the time I would like to

• Support pandas .plot api via method as highplot on dataframes
• Add more examples
• Add badges for 100% test coverage etc.
• Distribute as conda package

Change Log

• 20210405: Add HighStock, HighMap, HighGantt
• 20210404: Can now display in Classic Notebook
• 20210403: First Release to PyPi. Works in Jupyter Lab and Panel App.