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:
- DeckGL docs: https://github.com/uber/deck.gl/tree/master/docs
- DeckGL JSON docs: https://github.com/uber/deck.gl/tree/master/modules/json
When using this command, Mapbox provides the map tiles to render map content. Note that Mapbox is a third-party product, the use of which is governed by Mapbox's Terms of Use.
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.
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) | No description |
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.
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