84 read parquet

Reading GeoParquet files and visualizing vector data interactively

Uncomment the following line to install leafmap if needed.

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# %pip install -U leafmap lonboard==0.3.0

# %pip install -U leafmap lonboard==0.3.0

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import leafmap

import leafmap

Visualizing point data.

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url = "https://open.gishub.org/data/duckdb/cities.parquet"

url = "https://open.gishub.org/data/duckdb/cities.parquet"

Read GeoParquet and return a GeoPandas GeoDataFrame.

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gdf = leafmap.read_parquet(url, return_type="gdf", src_crs="EPSG:4326")
gdf.head()

gdf = leafmap.read_parquet(url, return_type="gdf", src_crs="EPSG:4326") gdf.head()

View the GeoDataFrame interactively using folium.

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gdf.explore()

gdf.explore()

Visualize the GeoDataFrame using lonboard.

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leafmap.view_vector(gdf, get_radius=20000, get_fill_color="blue")

leafmap.view_vector(gdf, get_radius=20000, get_fill_color="blue")

Visualizing polygon data.

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url = "https://data.source.coop/giswqs/nwi/wetlands/DC_Wetlands.parquet"

url = "https://data.source.coop/giswqs/nwi/wetlands/DC_Wetlands.parquet"

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gdf = leafmap.read_parquet(
    url, return_type="gdf", src_crs="EPSG:5070", dst_crs="EPSG:4326"
)
gdf.head()

gdf = leafmap.read_parquet( url, return_type="gdf", src_crs="EPSG:5070", dst_crs="EPSG:4326" ) gdf.head()

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gdf.explore()

gdf.explore()

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leafmap.view_vector(gdf, get_fill_color=[0, 0, 255, 128])

leafmap.view_vector(gdf, get_fill_color=[0, 0, 255, 128])

Alternatively, you can specify a color map to visualize the data.

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color_map = {
    "Freshwater Forested/Shrub Wetland": (0, 136, 55),
    "Freshwater Emergent Wetland": (127, 195, 28),
    "Freshwater Pond": (104, 140, 192),
    "Estuarine and Marine Wetland": (102, 194, 165),
    "Riverine": (1, 144, 191),
    "Lake": (19, 0, 124),
    "Estuarine and Marine Deepwater": (0, 124, 136),
    "Other": (178, 134, 86),
}

color_map = { "Freshwater Forested/Shrub Wetland": (0, 136, 55), "Freshwater Emergent Wetland": (127, 195, 28), "Freshwater Pond": (104, 140, 192), "Estuarine and Marine Wetland": (102, 194, 165), "Riverine": (1, 144, 191), "Lake": (19, 0, 124), "Estuarine and Marine Deepwater": (0, 124, 136), "Other": (178, 134, 86), }

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leafmap.view_vector(gdf, color_column="WETLAND_TYPE", color_map=color_map, opacity=0.5)

leafmap.view_vector(gdf, color_column="WETLAND_TYPE", color_map=color_map, opacity=0.5)

Display a legend for the data.

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leafmap.Legend(title="Wetland Type", legend_dict=color_map)

leafmap.Legend(title="Wetland Type", legend_dict=color_map)