ipyleaflet is a jupyter interactive widget library which provides interactive maps to the Jupyter notebook.
Installation:
conda install -c conda-forge ipyleaflet
from __future__ import print_function
from ipyleaflet import (
Map,
Marker, MarkerCluster,
TileLayer, ImageOverlay,
Polyline, Polygon, Rectangle, Circle, CircleMarker,
Popup,
GeoJSON,
SplitMapControl, WidgetControl,
basemaps,
basemap_to_tiles
)
from ipywidgets import HTML
center = [34.6252978589571, -77.34580993652344]
zoom = 10
m = Map(center=center, zoom=zoom)
m
m.interact(zoom=(5, 10, 1))
from sidecar import Sidecar
sc = Sidecar(title='Map Output')
with sc:
display(m)
m.clear_layers()
m.add_layer(basemaps.Esri.DeLorme)
print(m.center)
print(m.zoom)
print(m.bounds)
mark = Marker(location=m.center)
mark.visible
m += mark
mark.interact(opacity=(0.0,1.0,0.01))
mark.visible
mark.visible = False
mark.visible = True
The popup is displayed when you click on the marker. You can add ANY widget as a popup for the marker, from simple HTMLWidget to plots using bqplot.
from ipywidgets import FloatSlider, link
slider = FloatSlider(value=1.0, min=0.0, max=1.0)
link((mark, 'opacity'), (slider, 'value'))
mark.popup = slider
Markers can be clustered depending on the zoom level.
xscale = 5
yscale = 10
x = [m.center[0] + i * xscale * .05 for i in (-1,0,1)]
y = [m.center[1] + i * yscale * .05 for i in (-1,0,1)]
from itertools import product
locations = product(x, y)
markers = [Marker(location=loc) for loc in locations]
The MarkerCluster will automatically handle clustering and the zoom level changes.
marker_cluster = MarkerCluster(markers=markers)
m += marker_cluster
# The following NASA images need a zoom level <= 9
if m.zoom > 9:
m.zoom = 9
control = SplitMapControl(
left_layer=basemap_to_tiles(basemaps.NASAGIBS.ModisTerraTrueColorCR, "2017-11-11") ,
right_layer=basemap_to_tiles(basemaps.NASAGIBS.ModisAquaBands721CR, "2017-11-11")
)
m.add_control(control)
m.remove_control(control)
from ipywidgets import IntSlider, Button, link
button = Button(description='Goto NYC')
def goto_nyc(*args, **kwargs):
# NYC: 40.7128° N, 74.0060° W
m.center = (40.7128, -74.0060)
m.zoom = 9
button.on_click(goto_nyc)
wid_control = WidgetControl(widget=button, position='bottomright')
m.add_control(wid_control)
m.remove_control(wid_control)
from ipywidgets import Text, HTML, HBox
from ipyleaflet import GeoJSON, WidgetControl, Map
import json
m = Map(center = (43,-100), zoom = 4)
geo_json_data = json.load(open('us-states-density-colored.json'))
geojson = GeoJSON(data=geo_json_data, hover_style={'color': 'black', 'dashArray': '5, 5', 'weight': 2})
m.add_layer(geojson)
html = HTML('''
<h4>US population density</h4>
Hover over a state
''')
html.layout.margin = '0px 20px 20px 20px'
control = WidgetControl(widget=html, position='topright')
m.add_control(control)
def update_html(properties, **kwargs):
html.value = '''
<h4>US population density</h4>
<h2><b>{}</b></h2>
{} people / mi^2
'''.format(properties['name'], properties['density'])
geojson.on_hover(update_html)
m