Dash Plotly implementation of vis.js library
Project description
DashVis Component
Full implementation of vis.js network framework for Plotly Dash
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A full implementation of vis.js Network component for Dash Plotly. Useful for displaying dynamic, automatically organised, customizable network views.
Table of contents
- Table of contents
- Installation
- Quick start
- See how it is used
- Advanced examples
- Linking a stylesheet
- Contributing
- Future work 🔨
Installation
PyPI
You can install dashvis with pip
:
pip install dashvis
Quick start
dashvis exposes a single component, DashNetwork. Simply create one and include it in your Dash layout. Simplest example:
import dash
from dash import html
from dashvis import DashNetwork
app = dash.Dash()
app.layout = html.Div([
DashNetwork()
])
if __name__ == '__main__':
app.run_server(debug=True)
See how it is used
A simple usage example is provided in usage.py
.
- Run:
python -m venv dashvis-venv
source dashvis-venv/bin/activate
pip install -r requirements.txt
npm install
npm run build
python usage.py
- Visit http://localhost:8050 in your web browser
Advanced examples
Examples which cover the entire API of vis.js
are available in usage_examples
folder.
Running them requires PYTHONPATH to be made aware of dashvis
.
Simply run:
export PYTHONPATH="${PYTHONPATH}:./dashvis"
and then run any example from repo root directory of the repository:
python usage_examples/<example_name>.py
Linking a stylesheet
dashvis doesn't come with CSS included. If you enable network manipulation or navigation features, you need to include a stylesheet to draw those components of the network.
For convenience, links to vis.js stylesheets are included for you and can be used as follows:
import dash
import dashvis.stylesheets
app = dash.Dash(external_stylesheets=[dashvis.stylesheets.VIS_NETWORK_STYLESHEET])
Contributing
See CONTRIBUTING.md
Future work 🔨
- Update
usage.py
- Fix two disabled
vis.js
function calls - Write tests
- Add tests and code coverage badges
- Update this README
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