https://github.com/dschenck/easychart

Highcharts meets Python in your jupyter notebook
https://github.com/dschenck/easychart

data-visualization dataviz highcharts jupyter jupyter-notebook plotting

Last synced: about 1 month ago
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Highcharts meets Python in your jupyter notebook

• Host: GitHub
• URL: https://github.com/dschenck/easychart
• Owner: dschenck
• License: mit
• Created: 2020-08-09T12:52:08.000Z (over 5 years ago)
• Default Branch: latest
• Last Pushed: 2025-02-13T22:21:46.000Z (about 1 year ago)
• Last Synced: 2025-09-27T20:14:12.305Z (6 months ago)
• Topics: data-visualization, dataviz, highcharts, jupyter, jupyter-notebook, plotting
• Language: Python
• Homepage: https://easychart.readthedocs.io
• Size: 3.7 MB
• Stars: 20
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# easychart

[highcharts](https://www.highcharts.com/) meets python in your [Jupyter](https://jupyter.org/) notebook

[![PyPI version](https://badge.fury.io/py/easychart.svg)](https://badge.fury.io/py/easychart)

[![pythons](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue)](https://pypi.org/project/easychart)

[![tests and coverage](https://github.com/dschenck/easychart/actions/workflows/testing.yml/badge.svg?branch=main)](https://github.com/dschenck/easychart/actions/workflows/testing.yml)

[![Documentation Status](https://readthedocs.org/projects/easychart/badge/?version=latest)](https://easychart.readthedocs.io/en/latest/?badge=latest)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![Downloads](https://static.pepy.tech/badge/easychart/week)](https://pepy.tech/project/easychart)

## Getting started

Installing easychart is easy with pip

```

pip install easychart

```

Open a new Jupyter notebook

```python

import easychart

chart = easychart.new("column")

chart.title.text = "France Olympic medals",

chart.subtitle.text ="by year and by medal class"

chart.yAxis.title.text = "medals"

chart.categories = ["Gold","Silver","Bronze"]

chart.plot([7, 16, 18], name=2008)

chart.plot([11, 11, 13], name=2012)

chart

```



## Documentation

Complete documentation is hosted on [read the docs](https://easychart.readthedocs.io/en/latest/). Have a look at one of the [25+ example charts](https://easychart.readthedocs.io/en/latest/contents/examples/index.html).