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python-visualization
GitHub Repository: python-visualization/folium
Path: blob/main/docs/user_guide/ui_elements/popups.md
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Popups

Simple popups

You can define your popup at the feature creation, but you can also overwrite them afterwards:

import folium m = folium.Map([45, 0], zoom_start=4) folium.Marker([45, -30], popup="inline implicit popup").add_to(m) folium.CircleMarker( location=[45, -10], radius=25, fill=True, popup=folium.Popup("inline explicit Popup"), ).add_to(m) ls = folium.PolyLine( locations=[[43, 7], [43, 13], [47, 13], [47, 7], [43, 7]], color="red" ) ls.add_child(folium.Popup("outline Popup on Polyline")) ls.add_to(m) gj = folium.GeoJson( data={"type": "Polygon", "coordinates": [[[27, 43], [33, 43], [33, 47], [27, 47]]]} ) gj.add_child(folium.Popup("outline Popup on GeoJSON")) gj.add_to(m) m
m = folium.Map([45, 0], zoom_start=2) folium.Marker( location=[45, -10], popup=folium.Popup("Let's try quotes", parse_html=True, max_width=100), ).add_to(m) folium.Marker( location=[45, -30], popup=folium.Popup(u"Ça c'est chouette", parse_html=True, max_width="100%"), ).add_to(m) m

HTML in popup

import branca m = folium.Map([43, -100], zoom_start=4) html = """ <h1> This is a big popup</h1><br> With a few lines of code... <p> <code> from numpy import *<br> exp(-2*pi) </code> </p> """ folium.Marker([30, -100], popup=html).add_to(m) m

Iframe in popup

You can also put any HTML code inside a Popup, thaks to the IFrame object.

m = folium.Map([43, -100], zoom_start=4) html = """ <h1> This popup is an Iframe</h1><br> With a few lines of code... <p> <code> from numpy import *<br> exp(-2*pi) </code> </p> """ iframe = branca.element.IFrame(html=html, width=500, height=300) popup = folium.Popup(iframe, max_width=500) folium.Marker([30, -100], popup=popup).add_to(m) m
import pandas as pd df = pd.DataFrame( data=[["apple", "oranges"], ["other", "stuff"]], columns=["cats", "dogs"] ) m = folium.Map([43, -100], zoom_start=4) html = df.to_html( classes="table table-striped table-hover table-condensed table-responsive" ) popup = folium.Popup(html) folium.Marker([30, -100], popup=popup).add_to(m) m

Note that you can put another Figure into an IFrame ; this should let you do strange things...

# 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 = branca.element.IFrame(width=500, height=300) f.add_to(iframe) # Let's put the IFrame in a Popup popup = folium.Popup(iframe, max_width=2650) # Let's create another map. m = folium.Map([43, -100], zoom_start=4) # Let's put the Popup on a marker, in the second map. folium.Marker([30, -100], popup=popup).add_to(m) # We get a map in a Popup. Not really useful, but powerful. m

Vega chart in popup

Vega is a way to describe charts. You can embed a Vega chart in a popup using the Vega class.

import json import numpy as np import vincent multi_iter2 = { "x": np.random.uniform(size=(100,)), "y": np.random.uniform(size=(100,)), } scatter = vincent.Scatter(multi_iter2, iter_idx="x", height=100, width=200) data = json.loads(scatter.to_json()) m = folium.Map([0, 0], zoom_start=1) marker = folium.Marker([0, 0]).add_to(m) popup = folium.Popup("Hello").add_to(marker) folium.Vega(data, width="100%", height="100%").add_to(popup) m

Vega-Lite chart in popup

Vega-lite is a higher-level version of Vega. Folium supports it as well in the VegaLite class.

from altair import Chart import vega_datasets # load built-in dataset as a pandas DataFrame cars = vega_datasets.data.cars() scatter = ( Chart(cars) .mark_circle() .encode( x="Horsepower", y="Miles_per_Gallon", color="Origin", ) ) vega_lite = folium.VegaLite( scatter, width="100%", height="100%", ) m = folium.Map(location=[-27.5717, -48.6256]) marker = folium.Marker([-27.57, -48.62]) popup = folium.Popup() vega_lite.add_to(popup) popup.add_to(marker) marker.add_to(m) m

Lazy loading

If whatever you are showing in the popup is slow or heavy to load and you have many popups, you may not want to render the popup contents immediately. There's an argument to prevent loading until the popup is opened.

m = folium.Map([43, -100], zoom_start=4) html = "{a resource that is heavy to load, such as an image}" folium.Marker([30, -100], popup=html, lazy=True).add_to(m) m