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https://github.com/pyecharts/pyecharts

🎨 Python Echarts Plotting Library
https://github.com/pyecharts/pyecharts

echarts python

Last synced: about 2 months ago
JSON representation

🎨 Python Echarts Plotting Library

Host: GitHub
URL: https://github.com/pyecharts/pyecharts
Owner: pyecharts
License: mit
Created: 2017-06-22T02:50:25.000Z (almost 7 years ago)
Default Branch: master
Last Pushed: 2024-03-27T09:20:02.000Z (3 months ago)
Last Synced: 2024-05-02T02:57:06.400Z (about 2 months ago)
Topics: echarts, python
Language: Python
Homepage: https://pyecharts.org
Size: 94.7 MB
Stars: 14,459
Watchers: 379
Forks: 2,829
Open Issues: 14
Metadata Files:
- Readme: README.en.md
- Funding: .github/FUNDING.yml
- License: LICENSE

Lists

awesome-python-data-science - pyecharts - Migrated from [Echarts](https://github.com/apache/echarts), a charting and visualization library, to Python's interactive visual drawing library.<img height="20" src="img/pyecharts.png" alt="pyecharts"> <img height="20" src="img/echarts.png" alt="echarts"> (Visualization / Interactive plots)
awesome-jupyter - pyecharts - Python interface for the [ECharts](https://github.com/apache/incubator-echarts) visualization library. (Visualization)
fintech-awesome-libraries - pyecharts - a charting and visualization library, to Python's interactive visual drawing library. (Data Visualization / Interactive plots)
awesome-stars - pyecharts/pyecharts - 🎨 Python Echarts Plotting Library (Python)
awesome-echarts - pyecharts - Python Apache ECharts Plotting Library. (Languages / Python)
awesome-python-machine-learning-resources - GitHub - 1% open · ⏱️ 25.04.2022): (数据可视化)
awesome-github-star - pyecharts
-awesome-jupyter - pyecharts - Python interface for the [ECharts](https://github.com/apache/incubator-echarts) visualization library. (Visualization)
awesome-stars - pyecharts
awesome - pyecharts/pyecharts - 🎨 Python Echarts Plotting Library (Python)
awesome-stars - pyecharts
awesome-stenudd - pyecharts - 🎨 Python Echarts Plotting Library (Python)
awesome-stars - pyecharts/pyecharts - 🎨 Python Echarts Plotting Library (Python)
awesome-python-data-science - pyecharts - Migrated from [Echarts](https://github.com/apache/echarts), a charting and visualization library, to Python's interactive visual drawing library.<img height="20" src="img/pyecharts.png" alt="pyecharts"> <img height="20" src="img/echarts.png" alt="echarts"> (Visualization / Interactive plots)
awesome-stars - pyecharts - 🎨 Python Echarts Plotting Library (Python)
awesome-stars - pyecharts/pyecharts - 🎨 Python Echarts Plotting Library (Python)
awesome-stars - pyecharts/pyecharts - 🎨 Python Echarts Plotting Library (Python)
awesome-list - pyecharts - A Python visualization interface for Apache ECharts. (Data Visualization / Data Management)
awesome-stars - pyecharts/pyecharts - `★14593` 🎨 Python Echarts Plotting Library (Python)
awesome-dataviz - pyechars - Python binding for Echarts library. (Python tools / Misc)
awesome - pyecharts/pyecharts - 🎨 Python Echarts Plotting Library (Python)
awesome-stars - pyecharts/pyecharts - `★14439` 🎨 Python Echarts Plotting Library (Python)
my-awesome-stars - pyecharts/pyecharts - 🎨 Python Echarts Plotting Library (Python)

README

        


    



pyecharts



    Python ❤️ ECharts = pyecharts





    

        

    

    

        

    

    

        

    

    

        

    





    

        

    

     

        

    

    

        

    



## 📣 Introduction

[Apache ECharts](https://github.com/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](https://github.com/pyecharts/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

## ⏳ Version

v0.5.x is not compatible with V1, which is a completely new version, see [ISSUE#892](https://github.com/pyecharts/pyecharts/issues/892), [ISSUE#1033](https://github.com/pyecharts/). pyecharts/issues/1033).

### V0.5.x

> Support for Python 2.7, 3.4+

At the discretion of the development team, version 0.5.x will no longer be maintained. Version 0.5.x code is located in the *05x* branch and documentation is located at [05x-docs.pyecharts.org](http://05x-docs.pyecharts.org).

### V1

> Python 3.6+ only

The new version series will start with v1.0.0, documented at [pyecharts.org](https://pyecharts.org); examples at [gallery.pyecharts.org](https://gallery.pyecharts.org)

### V2

> Python 3.6+ only

The new version is based on Echarts 5.4.1+ for rendering, and the documentation and examples are in the same location as V1.

## 🔰 Installation

**pip install**

```shell

$ pip install pyecharts

```

**Install from source**

```shell

$ git clone https://github.com/pyecharts/pyecharts.git

$ cd pyecharts

$ pip install -r requirements.txt

$ python setup.py install

```

## 📝 Usage

### Local computer

#### HTML

```python

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

```python

from pyecharts.render import make_snapshot

# needs to configure selenium

make_snapshot(bar.render(), "bar.png")

```







### Notebook

#### Jupyter Notebook

![](https://user-images.githubusercontent.com/19553554/55270255-b3d46c00-52d7-11e9-8aa5-f7b3819a1e88.png)

#### JupyterLab

![](https://user-images.githubusercontent.com/19553554/55270259-c0f15b00-52d7-11e9-8811-93bfca1cc027.png)

#### Web framework

![](https://user-images.githubusercontent.com/19553554/35081158-3faa7c34-fc4d-11e7-80c9-2de79371374f.gif)

## 🔖 Demo

































































For more documentation, please visit

* [Chinese documentation](https://pyecharts.org/#/zh-cn/)

* [English Documentation](https://pyecharts.org/#/en-us/)

* [Example Documentation](https://gallery.pyecharts.org/)

## ⛏ Software development

### Unit tests

```shell

$ pip install -r test/requirements.txt

$ make

```

### Team development

[Travis CI](https://travis-ci.org/) and [AppVeyor](https://ci.appveyor.com/) is place for continuous integration.

### Coding styles

[flake8](http://flake8.pycqa.org/en/latest/index.html), [Codecov](https://codecov.io/) and [pylint](https://www.pylint.org/) are used

## 😉 Author

pyecharts are co-maintained by:

* [@chenjiandongx](https://github.com/chenjiandongx)

* [@chfw](https://github.com/chfw)

* [@kinegratii](https://github.com/kinegratii)

* [@sunhailin-Leo](https://github.com/sunhailin-Leo)

For more contributors, please visit [pyecharts/graphs/contributors](https://github.com/pyecharts/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](http://pyecharts.org/#/zh-cn/donate)

## 📃 License

MIT [©chenjiandongx](https://github.com/chenjiandongx)