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Context
I'd like to be able to use lonboard to create 3d mapping of data that include extruded column layers, like this (pure pydeck code below).
Issue
I'd like to be able to translate this pure-pydeck example into lonboard (i.e. as proof-of-principle for support for this layer).
import geopandas as gpd
import pydeck as pdk
DATA_URL = 'https://data.source.coop/cboettig/conservation-policy/Inflation_Reduction_Act_Projects.geojson'
df = gpd.read_file(DATA_URL)
column_layer = pdk.Layer(
"ColumnLayer",
data=df,
get_position=["LONGITUDE", "LATITUDE"],
get_elevation="FUNDING_NUMERIC",
get_fill_color = [256,256,0, 140],
elevation_scale=.01,
radius=10000,
pickable=True,
auto_highlight=True,
)
INITIAL_VIEW_STATE = pdk.ViewState(latitude=35, longitude=-100, zoom=4, max_zoom=16, pitch=45, bearing=0)
r = pdk.Deck(
column_layer,
initial_view_state = INITIAL_VIEW_STATE,
map_style=pdk.map_styles.CARTO_ROAD,
)
r
I think the key piece here is just adding support for "ColumnLayer", but not sure. Ideally I'd like to be able to layer this kind of rendering with other layers also generated in lonboard.
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