Echarts is an open source library from Baidu for data visualization in javascript. It has awesome demo pages so I started to look out for an interface library so that I could use it in Python. I ended up with echarts-python on github but it lacks of documentation and was not updated for a while. Just like many other Python projects, I started my own project, pyecharts, referencing echarts-python and another library pygal.

Installation

pyecharts works on Python2 and Python3. For more information please refer to changelog.md

Jupyter-Notebook

Make sure you hava installed jupyter-notebook enviroment if you want to show your charts on notebook.
How to install it?

$ pip install notebook

pyecharts

You can install it via pip

$ pip install pyecharts

or clone it and install it

$ git clone --recursive https://github.com/chenjiandongx/pyecharts.git
$ cd pyecharts
$ python setup.py install

Basic Usage

from pyecharts import Bar

attr = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
v1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
v2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
bar = Bar("Bar chart", "precipitation and evaporation one year")
bar.add("precipitation", attr, v1, mark_line=["average"], mark_point=["max", "min"])
bar.add("evaporation", attr, v2, mark_line=["average"], mark_point=["max", "min"])
bar.render()

It will create a file named render.html in the root directory, open file with your borwser.

Working with pandas & numpy

working with Flask & Django

Flask

Django

中文文档
- pyecharts + Flask
- pyecharts + Django
English
- pyecharts + Flask
- pyecharts + Django

Documentation

Test

$ cd test
$ nosetests --with-coverage --cover-package pyecharts --cover-package test

Author

pyecharts is developed and maintained by chenjiandongx (chenjiandongx@qq.com)

License

pyecharts is released under the MIT License. See LICENSE for more information.