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 …

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.

Explore more provider names available in xyzservices here: https://leaflet-extras.github.io/leaflet-providers/preview/. You can also pass a custom tileset by passing ...

[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 scroll outside those …

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 …