105 vector time slider

Visualizing vector data with time attributes

Uncomment the following line to install leafmap if needed.

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# %pip install -U leafmap

# %pip install -U leafmap

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from leafmap import leafmap
import geopandas as gpd

from leafmap import leafmap import geopandas as gpd

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url = "https://github.com/opengeos/datasets/releases/download/us/zillow_home_value_index_by_county_ca.geojson"

url = "https://github.com/opengeos/datasets/releases/download/us/zillow_home_value_index_by_county_ca.geojson"

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data = gpd.read_file(url)
data.head(2)

data = gpd.read_file(url) data.head(2)

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legend_dict = {
    "[ 0,  200000]": "#e6f3ff",  # Very light blue
    "( 200000,  400000]": "#deebf7",  # Light blue
    "( 400000,  600000]": "#9ecae1",  # Medium blue
    "( 600000,  800000]": "#4292c6",  # Medium-dark blue
    "( 800000, 1000000]": "#2171b5",  # Dark blue
    "( 1000000, 2000000]": "#084594",  # Very dark blue
    "Nodata": "#f0f0f0",  # Light gray
}

legend_dict = { "[ 0, 200000]": "#e6f3ff", # Very light blue "( 200000, 400000]": "#deebf7", # Light blue "( 400000, 600000]": "#9ecae1", # Medium blue "( 600000, 800000]": "#4292c6", # Medium-dark blue "( 800000, 1000000]": "#2171b5", # Dark blue "( 1000000, 2000000]": "#084594", # Very dark blue "Nodata": "#f0f0f0", # Light gray }

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gdf = leafmap.color_code_dataframe(data, legend_dict=legend_dict)
gdf.head(2)

gdf = leafmap.color_code_dataframe(data, legend_dict=legend_dict) gdf.head(2)

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m = leafmap.Map()
m

m = leafmap.Map() m

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m.add_gdf_time_slider(gdf, time_interval=0.05, zoom_to_layer=True)
m.add_legend(title="Median Home Value", legend_dict=legend_dict)

m.add_gdf_time_slider(gdf, time_interval=0.05, zoom_to_layer=True) m.add_legend(title="Median Home Value", legend_dict=legend_dict)