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https://github.com/wang0618/pywebio-chart-gallery

PyWebIO data visualization demos.
https://github.com/wang0618/pywebio-chart-gallery

bokeh echart g2plot plotly pyecharts pywebio visualization

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PyWebIO data visualization demos.

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# [PyWebIO Chart Gallery](https://github.com/wang0618/pywebio-chart-gallery)

[PyWebIO](https://github.com/wang0618/PyWebIO) supports for data visualization with the third-party libraries.

This repo shows examples of data visualization using plotly, bokeh, pyecharts and cutcharts in PyWebIO

- [bokeh](https://github.com/bokeh/bokeh): Use bokeh for data visualization. [**demos**](http://pywebio-charts.pywebio.online/?app=bokeh)
- [plotly](https://github.com/plotly/plotly.py/): Interactive, open-source, and browser-based graphing library. [**demos**](http://pywebio-charts.pywebio.online/?app=plotly)
- [pyecharts](https://github.com/pyecharts/pyecharts): Create Echarts-based charts in Python. [**demos**](http://pywebio-charts.pywebio.online/?app=pyecharts)
- [pyg2plot](https://github.com/hustcc/PyG2Plot): Create G2Plot-based charts in Python. [**demos**](http://pywebio-charts.pywebio.online/?app=pyg2plot)
- [cutecharts.py](https://github.com/cutecharts/cutecharts.py): Create a hand drawing style charts. [**demos**](http://pywebio-charts.pywebio.online/?app=cutecharts)

## Charts Snapshot
### Bokeh



bokeh demo

### Plotly



plotly demo

### Pyecharts



pyecharts demo

### Cutecharts.py



cutecharts demo

## Run Demo

### Start demo

```bash
python3 run.py
```

### Rebuild demo

```bash
pip3 install -r requirements.txt -r requirements-dev.txt
git submodule update --init --recursive --depth=1
python3 pyecharts_demo/build_demos.py
python3 plotly_demo/build_demos.py
python3 bokeh_demo/build_demos.py
```