Evaluating Overture Maps Places

Evaluating Overture Maps Places#

Data#

Overture Maps#

Overture Maps Places#

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PLACES = gpd.read_file(
    f"../../data/raw/overturemaps/overturemaps_2024-06-13-beta.1_places_{COUNTRY}.geojson"
).set_index("id")

PLACES = PLACES.sjoin(AREA[["geometry"]], predicate="within").drop(
    ["index_right"], axis="columns"
)

Vizualing places where category=school,

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# Plotting the GeoDataFrame with contextily base map
fig, ax = plt.subplots(figsize=(10, 8))

PLACES[PLACES["main_category"].isin(["school"])].plot(
    column="main_category",
    ax=ax,
    alpha=0.5,
    # markersize=gdf['size'],
    marker="o",
    legend=False,
)
ctx.add_basemap(
    ax, crs=PLACES.crs.to_string(), source=ctx.providers.OpenStreetMap.Mapnik
)
../../_images/8f74dbd398abdd689cf241fbce67d4f64298e72362d57fbd9e4d4a7a39dac3d8.png
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fig = px.treemap(
    rs.value_counts(subset=["c_0", "c_1", "c_2"]).to_frame("count").reset_index(),
    path=["c_0", "c_1", "c_2"],
    # color_discrete_sequence=px.colors.qualitative.Bold,
    values="count",
    title="Overture Maps Places",
    height=600,
)

fig.show()
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