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# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "geopandas",
#     "lonboard",
#     "pyarrow",
# ]
# ///

# /// script # requires-python = ">=3.12" # dependencies = [ # "geopandas", # "lonboard", # "pyarrow", # ] # ///

ColumnLayer Example¶

This is a quick example notebook to show how to use the ColumnLayer.

This is derived from @cboettig's example in this issue.

Dependencies¶

Install uv and then launch this notebook with:

uvx juv run examples/column-layer.ipynb

(The uvx command is included when installing uv).

Imports¶

In [ ]:

import geopandas as gpd

from lonboard import ColumnLayer, Map

import geopandas as gpd from lonboard import ColumnLayer, Map

In [ ]:

DATA_URL = "https://data.source.coop/cboettig/conservation-policy/Inflation_Reduction_Act_Projects.geojson"

DATA_URL = "https://data.source.coop/cboettig/conservation-policy/Inflation_Reduction_Act_Projects.geojson"

In [ ]:

df = gpd.read_file(DATA_URL, use_arrow=True)

df = gpd.read_file(DATA_URL, use_arrow=True)

In [ ]:

layer = ColumnLayer.from_geopandas(
    df,
    get_elevation=df["FUNDING_NUMERIC"],
    get_fill_color=[255, 255, 0, 140],
    elevation_scale=0.01,
    radius=10000,
    pickable=True,
    auto_highlight=True,
)

layer = ColumnLayer.from_geopandas( df, get_elevation=df["FUNDING_NUMERIC"], get_fill_color=[255, 255, 0, 140], elevation_scale=0.01, radius=10000, pickable=True, auto_highlight=True, )

In [ ]:

m = Map(
    layer,
    view_state={
        "longitude": -100,
        "latitude": 35,
        "zoom": 4,
        "pitch": 45,
        "bearing": 0,
    },
)
m

m = Map( layer, view_state={ "longitude": -100, "latitude": 35, "zoom": 4, "pitch": 45, "bearing": 0, }, ) m

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