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 passing rich …

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 also pick colors …

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.

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 all tilesets …

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, …

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 passing rich …

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 altair …

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 …

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

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 passing rich …