streamlit-deckgl 0.5.1

Streamlit component for deck.gl visualisation

streamlit-deckgl

Streamlit component for deck.gl visualisation with bi-directional transport for onClick events.

Installation instructions

pip install streamlit-deckgl

Usage

There is one component function st_deckgl with function signature:

component_value=st_deckgl(deck, height=500, configuration=None, key="deck_gl", events=None, description=None)

Parameters

deck : pydeck.Deck instance
    The pydeck map to render.
key : str, default "deck_gl"
    The key for the component. This must be unique for each map in the app.
height : int, default 500
    The height of the map in pixels.
events : list, default None
    A dict of events to listen for. Can be one or more of:
    - 'click'
    - 'hover'
    - 'drag'
description : dict, default None
    A dictionary with additional description components to overlay on the map
    The keys are the position which can be one of 'top-right','top-left','bottom-right','bottom-left'
    The values are the html elements to place in each position
    Example {'top-right':<div>This is a nice map</div>}
configuration : dict, default None
    A dictionary of configuration options for the map.

Returns

component_value : dict
    A dictionary containing the info dictionary of the event.

Example

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

from streamlit_deckgl import st_deckgl


st.write("## Example")

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

r = pdk.Deck(
    initial_view_state=pdk.ViewState(
        latitude=37.76, longitude=-122.4, zoom=11, pitch=50, height=600
    ),
    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,
        ),
    ],
    tooltip={
        "html": "<b>Temperature:</b> {value} °C",
        "style": {"backgroundColor": "steelblue", "color": "white"},
    },
)

value = st_deckgl(r,)

st.write(value)