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.

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, …

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.

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 …

class folium.folium.Map(location: Sequence[float] | None = None, width: str | float = '100%', height: str | float = '100%', left: str | float = '0%', top: str | float = '0%', position: str = 'relative', tiles: str | …

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 …

Lastly, Folium supports passing any leaflet.jscompatible custom tileset: folium. Map(location=[45.372, …

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

StepColormap# But to help you define your colormap, we’ve embedded StepColormapin folium.colormap. You can simply define the colors you want, and the index(thresholds) that …