# Create an interactive heatmap fig = px.density_mapbox( outage_counts, lat='LATITUDE', lon='LONGITUDE', z='counts', radius=10, center=dict(lat=29.76, lon=-95.36), # Center of the map (Houston, Texas) zoom=10, mapbox_style="open-street-map" ) # # Update layout with a more sensitive color scale # fig.update_layout(coloraxis_colorbar=dict( # title="Outage Count", # tickmode="array", # tickvals=[1, 2, 5, 10, 20, 50, 100], # ticktext=["1", "2", "5", "10", "20", "50", "100"] # )) #fig.update_layout(mapbox_style="dark", mapbox_accesstoken="") fig.show() fig_all_points = px.scatter_mapbox( combined_data, lat='LATITUDE', lon='LONGITUDE', size_max=15, zoom=10, mapbox_style="stamen-terrain" ) fig_all_points.update_layout(mapbox_style="dark", mapbox_accesstoken="") fig_all_points.show()
You can see below scatter vs heatmap.
Pulling from the same dataβ¦