Skip to main content

plotly-dash custom component. Adds Plotly.extendTraces() support to dash_core_components.Graph()

Project description


PyPI PyPI - Python Version PyPI - License

dash-extendable-graph is a Dash component library. This library contains a single component: ExtendableGraph. The component is a fork of the Graph() component of dash-core-components (v 1.0.0). However, the extendData for this component has been modified to follow an api that matches the format of figure['data'] (as opposed to the api defined Graph.extendData and Plotly.extendTraces()).

Note: plotly.js is required. However, the library is NOT explicitly listed in or in dash_extendable_graph\ as a way to reduce bundle size. Plotly.js is already distributed with the dash-core-components package, and most projects will import dcc as well as dash-extendable-graph.


Get started with:

  1. Install Dash and dependencies:
$ pip install -r requirements.txt
  1. Install dash-extendable-graph
$ pip install dash-extendable-graph
  1. Run python
  2. Visit http://localhost:8050 in your web browser


General examples may be found in

extendData keys

  1. updateData [list]: a list of dictionaries, each containing representing trace data (e.g dict(x=[1], y=[1]))
  2. traceIndices [list, optional]: identify the traces that should be extended. If the specified trace index does not exist, the corresponding trace shall be appended to the figure.
  3. maxPoints [number, optional]: define the maximum number of points to plot in the figure (per trace).

Based on the Plotly.extendTraces() api.


Extend a trace once per second, limited to 100 maximum points.

import dash_extendable_graph as deg
import dash
from dash.dependencies import Input, Output, State
import dash_html_components as html
import dash_core_components as dcc
import random

app = dash.Dash(__name__)

app.scripts.config.serve_locally = True
app.css.config.serve_locally = True

app.layout = html.Div([
            data=[{'x': [0],
                   'y': [0],

@app.callback(Output('extendablegraph_example', 'extendData'),
              [Input('interval_extendablegraph_update', 'n_intervals')],
              [State('extendablegraph_example', 'figure')])
def update_extendData(n_intervals, existing):
    x_new = existing['data'][0]['x'][-1] + 1
    y_new = random.random()
    return [dict(x=[x_new], y=[y_new])], [0], 100

if __name__ == '__main__':



Local Installation

  1. Dependencies
$ npm install
$ virtualenv venv
$ . venv/bin/activate
$ pip install -r requirements.txt
$ pip install -r tests/requirements.txt
  1. Build
$ npm run build
  1. Check out the component via component-playground
$ npm run start
The demo app is in `src/demo`
  1. Check out the sample Dash application using the component
$ python install
$ python


  • Run the tests with $pytest tests

Create a production build and publish:

$ npm run build
$ rm -rf dist
$ python sdist bdist_wheel
$ twine upload dist/*
$ npm publish

Test your tarball by copying it into a new environment and installing it locally:

$ pip install dash_extendable_graph-X.X.X.tar.gz

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dash_extendable_graph-1.0.1.tar.gz (321.8 kB view hashes)

Uploaded source

Built Distribution

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page