README.en.md

pyecharts

Python ❤️ ECharts = pyecharts

📣 Introduction

Apache ECharts is easy-to-use, highly interactive and highly performant javascript visualization library under Apache license. Since its first public release in 2013, it now dominates over 74% of Chinese web front-end market. Yet Python is an expressive language and is loved by data science community. Combining the strength of both technologies, pyecharts is born.

✨ Feature highlights

• Simple API, Sleek and method chaining
• Support 30 + popular charts
• Suppot data science tools: Jupyter Notebook, JupyterLab, nteract
• Integrate with Flask，Django at ease
• Easy to use and highly configurable
• Detailed documentation and examples.
• More than 400+ geomaps assets for geograpic information processing

🔰 Installation

pip install

$ pip install pyecharts

Install from source

$ git clone https://github.com/pyecharts/pyecharts.git
$ cd pyecharts
$ pip install -r requirements.txt
$ python setup.py install

📝 Usage

Local computer

HTML

from pyecharts.charts import Bar
from pyecharts import options as opts

bar = (
    Bar()
    .add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"])
    .add_yaxis("商家A", [114, 55, 27, 101, 125, 27, 105])
    .add_yaxis("商家B", [57, 134, 137, 129, 145, 60, 49])
    .set_global_opts(title_opts=opts.TitleOpts(title="某商场销售情况"))
)
bar.render()

image

from pyecharts.render import make_snapshot

# needs to configure selenium
make_snapshot(bar.render(), "bar.png")

Notebook

Jupyter Notebook

JupyterLab

Web framework

🔖 Demo

For more documentaiton, please visit

• Chinese documentation
• English Documentation
• Example Documentation

⛏ Software development

Unit tests

$ pip install -r test/requirements.txt
$ make

Team development

Travis CI and AppVeyor is place for continuous integration.

Coding styles

flake8, Codecov and pylint are used

😉 Author

pyecharts are co-maintained by:

• @chenjiandongx
• @chfw
• @kinegratii
• @sunhailin-Leo

For more contributors, please visit pyecharts/graphs/contributors

💌 Donation

To develop and maintain pyecharts, it took me a lot of overnights. If you think pyecharts has helped you, please consider buying me a coffee:

　　　

Please also buy the other maintainer a coffee if you think their work helped you too donation details

📃 License

MIT ©chenjiandongx