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, Mapbox provides the map tiles to render map content. Note that Mapbox is a third-party product and Streamlit accepts no responsibility or liability of any kind for Mapbox or for any content or information made available by Mapbox.

Mapbox requires users to register and provide a token before users can request map tiles. Currently, Streamlit provides this token for you, but this could change at any time. We strongly recommend all users create and use their own personal Mapbox token to avoid any disruptions to their experience. You can do this with the mapbox.token config option. The use of Mapbox is governed by Mapbox's Terms of Use.

To get a token for yourself, create an account at https://mapbox.com. For more info on how to set config options, see https://docs.streamlit.io/library/advanced-features/configuration

Function signature[source]

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

Parameters

pydeck_obj (pydeck.Deck or None)

Object specifying the PyDeck chart to draw.

use_container_width (bool)

Whether to override the figure's native width with the width of the parent container. If use_container_width is False (default), Streamlit sets the width of the chart to fit its contents according to the plotting library, up to the width of the parent container. If use_container_width is True, Streamlit sets the width of the figure to match the width of the parent container.

Example

Here's a chart using a HexagonLayer and a ScatterplotLayer. It uses either the light or dark map style, based on which Streamlit theme is currently active:

import streamlit as st
import pandas as pd
import numpy as np
import pydeck as pdk

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

st.pydeck_chart(pdk.Deck(
    map_style=None,
    initial_view_state=pdk.ViewState(
        latitude=37.76,
        longitude=-122.4,
        zoom=11,
        pitch=50,
    ),
    layers=[
        pdk.Layer(
           'HexagonLayer',
           data=chart_data,
           get_position='[lon, lat]',
           radius=200,
           elevation_scale=4,
           elevation_range=[0, 1000],
           pickable=True,
           extruded=True,
        ),
        pdk.Layer(
            'ScatterplotLayer',
            data=chart_data,
            get_position='[lon, lat]',
            get_color='[200, 30, 0, 160]',
            get_radius=200,
        ),
    ],
))

Note

To make the PyDeck chart's style consistent with Streamlit's theme, you can set map_style=None in the pydeck.Deck object.

forum

Still have questions?

Our forums are full of helpful information and Streamlit experts.