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 …

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 …

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 …

# Coordinates are 15 points on the great circle from Boston to San Francisco. coordinates = [ [42.3581, -71.0636], [42.82995815, -74.78991444], [43.17929819, -78.56603306], …

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.

Advanced guide Using colormaps Using colormaps# A few examples of how to use folium.colormapin choropleths. Let’s load a GeoJSON file, and try to choropleth it. [2]:

Common layer arguments # Every layer element in Folium has a couple common arguments: name: how the layer will be named in the layer control. overlay: True if the layer is an overlay, …

[6]: m = folium.Map([43, -100], zoom_start=4) folium.GeoJson(geo_json_data, zoom_on_click=True).add_to(m) m [6]: Make this Notebook Trusted to load map: File -> Trust …

# Let's create a Figure, with a map inside. f = branca.element.Figure() folium.Map([-25, 150], zoom_start=3).add_to(f) # Let's put the figure into an IFrame. iframe = …

import pandas state_data = pandas.read_csv( "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/us_unemployment_oct_2012.csv" ) m = …