st.pydeck_chart

Draw a chart using the PyDeck library.

This supports 3D maps, point clouds, and more! More info about PyDeck at https://deckgl.readthedocs.io/en/latest/.

These docs are also quite useful:

When using this command, we advise all users to use a personal Mapbox token. This ensures the map tiles used in this chart are more robust. You can do this with the mapbox.token config option.

To get a token for yourself, create an account at https://mapbox.com. It's free! (for moderate usage levels). For more info on how to set config options, see https://docs.streamlit.io/library/advanced-features/configuration#set-configuration-options

Function signature

st.pydeck_chart(pydeck_obj=None, use_container_width=False)

Parameters

spec (pydeck.Deck or None)

Object specifying the PyDeck chart to draw.

Example

Here's a chart using a HexagonLayer and a ScatterplotLayer on top of the light map style:

df = pd.DataFrame(
    np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],
    columns=['lat', 'lon'])

st.pydeck_chart(pdk.Deck(
     map_style='mapbox://styles/mapbox/light-v9',
     initial_view_state=pdk.ViewState(
         latitude=37.76,
         longitude=-122.4,
         zoom=11,
         pitch=50,
     ),
     layers=[
         pdk.Layer(
            'HexagonLayer',
            data=df,
            get_position='[lon, lat]',
            radius=200,
            elevation_scale=4,
            elevation_range=[0, 1000],
            pickable=True,
            extruded=True,
         ),
         pdk.Layer(
             'ScatterplotLayer',
             data=df,
             get_position='[lon, lat]',
             get_color='[200, 30, 0, 160]',
             get_radius=200,
         ),
     ],
 ))
(view standalone Streamlit app)

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