Folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as …

GeoJSON/TopoJSON overlays # Folium supports both GeoJSON and TopoJSON data in various formats, such as urls, file paths and dictionaries.

Map tileset to use. Folium has built-in all tilesets available in the xyzservices package. For example, you can pass any of the following to the “tiles” keyword: ”OpenStreetMap” ”CartoDB …

The user guide covers different parts of basic usage of Folium. Each page focuses on a single topic and outlines how it is implemented in Folium, with reproducible examples.

[3]: folium.Map( location=(-38.625, -12.875), zoom_control=False, ) [3]: Make this Notebook Trusted to load map: File -> Trust Notebook Limits # You can set limits, so the map won’t …

folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as …

Tiles # Built-in tilesets # [1]: import folium lon, lat = -38.625, -12.875 zoom_start = 8 [2]: folium.Map(location=[lat, lon], tiles="OpenStreetMap", zoom_start=zoom_start) [2]: Make this …

Common layer arguments # Every layer element in Folium has a couple common arguments: name: how the layer will be named in the layer control. overlay: True if the layer is an overlay, …

# Let's create a Figure, with a map inside. f = branca.element.Figure() folium.Map([-25, 150], zoom_start=3).add_to(f) # Let's put the figure into an IFrame. iframe = …

import pandas state_data = pandas.read_csv( "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/us_unemployment_oct_2012.csv" ) m = …