Housing prices

Mapping US Housing Prices by County

Uncomment the following line to install leafmap if needed.

In [ ]:

# %pip install "leafmap[maplibre]"

# %pip install "leafmap[maplibre]"

In [ ]:

import geopandas as gpd
import leafmap.maplibregl as leafmap

import geopandas as gpd import leafmap.maplibregl as leafmap

In [ ]:

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

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

In [ ]:

gdf = gpd.read_file(geojson)
gdf.head()

gdf = gpd.read_file(geojson) gdf.head()

In [ ]:

column = "2024-10-31"
data = gdf[["RegionName", "State", column, "geometry"]]
data.head()

column = "2024-10-31" data = gdf[["RegionName", "State", column, "geometry"]] data.head()

Available classification schemes:

• BoxPlot
• EqualInterval
• FisherJenks
• FisherJenksSampled
• HeadTailBreaks
• JenksCaspall
• JenksCaspallForced
• JenksCaspallSampled
• MaxP
• MaximumBreaks
• NaturalBreaks
• Quantiles
• Percentiles
• StdMean
• UserDefined

In [ ]:

m = leafmap.Map(style="liberty", pitch=60)
first_symbol_id = m.find_first_symbol_layer()["id"]
m.add_data(
    data,
    column=column,
    scheme="Quantiles",
    cmap="Blues",
    legend_title="Median Home Value",
    name="Home value",
    before_id=first_symbol_id,
    extrude=True,
    scale_factor=3,
)
m.add_layer_control()
m

m = leafmap.Map(style="liberty", pitch=60) first_symbol_id = m.find_first_symbol_layer()["id"] m.add_data( data, column=column, scheme="Quantiles", cmap="Blues", legend_title="Median Home Value", name="Home value", before_id=first_symbol_id, extrude=True, scale_factor=3, ) m.add_layer_control() m

In [ ]:

m = leafmap.Map(style="liberty")
m.add_data(
    data,
    column=column,
    scheme="Quantiles",
    cmap="Blues",
    legend_title="Median Home Value",
    name="Home value",
    before_id=first_symbol_id,
)
m.add_layer_control()
m

m = leafmap.Map(style="liberty") m.add_data( data, column=column, scheme="Quantiles", cmap="Blues", legend_title="Median Home Value", name="Home value", before_id=first_symbol_id, ) m.add_layer_control() m