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.

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.

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 …

[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 …

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 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 …

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 …