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 …

# Coordinates are 15 points on the great circle from Boston to San Francisco. coordinates = [ [42.3581, -71.0636], [42.82995815, -74.78991444], [43.17929819, -78.56603306], …

folium enables passing any HTML object as a popup, including `bokeh <https://bokeh.pydata.org/en/latest/>`__ plots, but there is a built-in support for vincent and …

Now, let’s try to add a line at latitude 45°, and add a polyline to verify it’s well rendered. We’ll need to specify origin='lower to inform folium that the first lines of the array are to be plotted at the …