pydeck: Large-scale interactive data visualization in Python

The pydeck library is a set of Python bindings for making spatial visualizations with deck.gl,
optimized for a Jupyter environment. To get started, see the documentation.

To install pydeck, see the instructions here.

For interactive demos, click the binder logo below:

Sample code

The following code renders a visualization similar to the one above in a Jupyter notebook:

import pydeck as pdk

# 2014 locations of car accidents in the UK
UK_ACCIDENTS_DATA = ('https://raw.githubusercontent.com/uber-common/'
                     'deck.gl-data/master/examples/3d-heatmap/heatmap-data.csv')

# Define a layer to display on a map
layer = pdk.Layer(
    'HexagonLayer',
    UK_ACCIDENTS_DATA,
    get_position=['lng', 'lat'],
    auto_highlight=True,
    elevation_scale=50,
    pickable=True,
    elevation_range=[0, 3000],
    extruded=True,                 
    coverage=1)

# Set the viewport location
view_state = pdk.ViewState(
    longitude=-1.415,
    latitude=52.2323,
    zoom=6,
    min_zoom=5,
    max_zoom=15,
    pitch=40.5,
    bearing=-27.36)

# Render
r = pdk.Deck(layers=[layer], initial_view_state=view_state)
r.to_html('demo.html')

If you're developing outside a Jupyter environment, you can run:

r.to_html('demo.html', notebook_display=False)

See the gallery for more examples.

Issues and contributing

If you encounter an issue, file it in the deck.gl issues page
and include your browser's console output, if any.

If you'd like to contribute to pydeck, please follow the deck.gl contribution guidelines
and the pydeck development installation instructions.

Dependency	Optional
jinja2	false
numpy	false
ipykernel	true
ipython	true
ipywidgets	true
pydeck-carto	true
traitlets	true

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pydeck

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