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README.md

plotly-extension

A JupyterLab extension for rendering Plotly charts

demo

Prerequisites

  • JupyterLab ^0.30.0
  • plotly.py >= 2.0.0

Usage

To render Plotly JSON in IPython:

from IPython.display import display

def Plotly(data=[], layout={}):
    bundle = {}
    bundle['application/vnd.plotly.v1+json'] = {
        'data': data,
        'layout': layout,
    }
    display(bundle, raw=True)

data = [
    {'x': [1999, 2000, 2001, 2002], 'y': [10, 15, 13, 17], 'type': 'scatter'},
    {'x': [1999, 2000, 2001, 2002], 'y': [16, 5, 11, 9], 'type': 'scatter'}
]

layout = {
    'title': 'Sales Growth',
    'xaxis': {'title': 'Year', 'showgrid': False, 'zeroline': False},
    'yaxis': {'title': 'Percent', 'showline': False}
}

Plotly(data, layout)

To render using the plotly Python library:

from plotly.offline import iplot
    
trace = plotly.graph_objs.Heatmap(z=[[1, 20, 30],
                      [20, 1, 60],
                      [30, 60, 1]])
fig = dict(data=[trace])
iplot(fig)

To render a .plotly or .plotly.json file, simply open it:

Install

jupyter labextension install @jupyterlab/plotly-extension

Development

# Clone the repo to your local environment
git clone https://github.com/jupyterlab/jupyter-renderers.git
cd jupyter-renderers
# Install dependencies
yarn install
# Build Typescript source
yarn run build
# Link your development version of the extension with JupyterLab
jupyter labextension link packages/plotly-extension
# Rebuild Typescript source after making changes
yarn run build
# Rebuild JupyterLab after making any changes
jupyter lab build

You can watch the jupyter-renderers directory and run JupyterLab in watch mode to watch for changes in the extension's source and automatically rebuild the extension and application.

# Run jupyterlab in watch mode in one terminal tab
jupyter lab --watch
# Watch the jupyter-renderers directory
yarn run watch

Uninstall

jupyter labextension uninstall @jupyterlab/plotly-extension