Using GeoPandas.GeoDataFrame in folium#

GeoPandas is a project to add support for geographic data to pandas objects. (See geopandas/geopandas)

It provides (among other cool things) a GeoDataFrame object that represents a Feature collection. When you have one, you may be willing to use it on a folium map. Here’s the simplest way to do so.

In this example, we’ll use the same file as GeoPandas demo ; it’s containing the boroughs of New York City.

[2]:
import geopandas

boros = geopandas.read_file(
    "https://raw.githubusercontent.com/python-visualization/folium-example-data/main/new_york_boroughs.zip"
)

boros
[2]:
BoroCode BoroName Shape_Leng Shape_Area geometry
0 5 Staten Island 330454.175933 1.623847e+09 MULTIPOLYGON (((970217.022 145643.332, 970227....
1 3 Brooklyn 741227.337073 1.937810e+09 MULTIPOLYGON (((1021176.479 151374.797, 102100...
2 4 Queens 896875.396449 3.045079e+09 MULTIPOLYGON (((1029606.077 156073.814, 102957...
3 1 Manhattan 358400.912836 6.364308e+08 MULTIPOLYGON (((981219.056 188655.316, 980940....
4 2 Bronx 464475.145651 1.186822e+09 MULTIPOLYGON (((1012821.806 229228.265, 101278...

To create a map with these features, simply put them in a GeoJson:

[3]:
m = folium.Map([40.7, -74], zoom_start=10, tiles="cartodbpositron")

folium.GeoJson(boros).add_to(m)

m
[3]:
Make this Notebook Trusted to load map: File -> Trust Notebook