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echarts-python

Generate Echarts options with Python.

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Echarts for Python

An unofficial Echarts options generator with Python.

.. image:: https://img.shields.io/pypi/v/echarts-python.svg :target: https://pypi.python.org/pypi/echarts-python/ :alt: Latest Version .. image:: https://travis-ci.org/yufeiminds/echarts-python.svg?branch=develop :target: https://travis-ci.org/yufeiminds/echarts-python :alt: Travis CI Status .. image:: https://codecov.io/github/yufeiminds/echarts-python/coverage.svg?branch=develop :target: https://codecov.io/github/yufeiminds/echarts-python?branch=master :alt: Codecov Status .. image:: https://readthedocs.org/projects/echarts-python/badge/?version=latest :target: http://echarts-python.readthedocs.org/en/latest/?badge=latest :alt: Doc Status

This repo still on developing (ALPHA), DON'T USE IT IN PRODUCTION.

Installation

Installing echarts-python with pip ::

$ pip install echarts-python

Current version for Echarts 3.1.6 <http://echarts.baidu.com/option.html>_

Basic Usage

.. code-block:: python

from echarts import Echart, Legend, Bar, Axis

chart = Echart('GDP', 'This is a fake chart')
chart.use(Bar('China', [2, 3, 4, 5]))
chart.use(Legend(['GDP']))
chart.use(Axis('category', 'bottom', data=['Nov', 'Dec', 'Jan', 'Feb']))

The chart.json property will be

.. code-block:: javascript

{
    "title": {
        "text": "GDP",
        "subtext": "This is a fake chart"
    },
    "series": [
        {
            "type": "bar",
            "data": [
                2,
                3,
                4,
                5
            ],
            "name": "China"
        }
    ],
    "legend": {
        "y": "top",
        "x": "center",
        "data": [
            "GDP"
        ],
        "orient": "horizontal"
    },
    "xAxis": [
        {
            "position": "bottom",
            "data": [
                "Nov",
                "Dec",
                "Jan",
                "Feb"
            ],
            "type": "category"
        }
    ],
    "yAxis": {}
}

on Mac OSX, you also can execute ::

chart.plot()

and invoke a browser to display the chart.

Contribution

This package authored by Hsiaoming Yang me@lepture.com in 2014.

If you have any question or want to improve this repository, welcome to create an issue <https://github.com/yufeiminds/echarts-python/issues> or pull requests <https://github.com/yufeiminds/echarts-python/pulls> .

This repo is maintained by Yufei Li yufeiminds@gmail.com now, you can also send a email to me.

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