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 …

Folium also accepts objects from the xyzservices package. Adding markers # There are various marker types, here we start with a simple Marker. You can add a popup and tooltip. You can …

Bases: JSCSSMixin, Evented Create a Map with Folium and Leaflet.js Generate a base map of given width and height with either default tilesets or a custom tileset URL. Folium has built-in …

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.

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 …

import folium min_lon, max_lon = -45, -35 min_lat, max_lat = -25, -15 m = folium.Map( max_bounds=True, location=[-20, -40], zoom_start=6, min_lat=min_lat, max_lat=max_lat, …

[2]: folium.Map().add_child( folium.ClickForMarker() ) [2]: Make this Notebook Trusted to load map: File -> Trust Notebook Click on the map to see the effects You can customize the popup …

import geopandas import requests data = requests.get( "https://raw.githubusercontent.com/python-visualization/folium-example …

Advanced guide # Using folium with flask Integrating Jenks Natural Break Optimization with choropleth Subplots Using colormaps Scrolling beyond the world edge Panes and …

import folium m = folium.Map(location=[-27.5717, -48.6256], zoom_start=9) radius = 50 folium.CircleMarker( location=[-27.55, -48.8], radius=radius, color="cornflowerblue", …