# This is to import the repository's version of folium ; not the installed one.
import sys, os
sys.path.insert(0,'..')
from folium import features
m = features.Map([40,-100], zoom_start=4)
w = features.WmsTileLayer("http://mesonet.agron.iastate.edu/cgi-bin/wms/nexrad/n0r.cgi",
name='test',
format='image/png',
layers='nexrad-n0r-900913',
attribution=u"Weather data © 2012 IEM Nexrad",
transparent=True)
w.add_to(m)
m
f = features.Figure(figsize=(8,8))
m = features.Map([0,0], zoom_start=1)
mk = features.Marker([0,0])
pp = features.Popup("hello")
ic = features.Icon(color='red')
f.add_children(m)
mk.add_children(ic)
mk.add_children(pp)
m.add_children(mk)
f
f = features.Figure()
m = features.Map([0,0], zoom_start=1)
mk = features.RegularPolygonMarker([0,0])
mk2 = features.RegularPolygonMarker([0,45])
f.add_children(m)
m.add_children(mk)
m.add_children(mk2)
f
import vincent, json
import numpy as np
N=100
multi_iter2 = {'x' : np.random.uniform(size=(N,)),
'y' : np.random.uniform(size=(N,)),
}
scatter = vincent.Scatter(multi_iter2, iter_idx='x', height=100, width=200)
data = json.loads(scatter.to_json())
f = features.Figure()
m = features.Map([0,0], zoom_start=1)
mk = features.Marker([0,0])
p = features.Popup("Hello")
v = features.Vega(data, width="100%", height="100%")
f.add_children(m)
mk.add_children(p)
p.add_children(v)
m.add_children(mk)
f
import vincent, json
import numpy as np
N=100
multi_iter2 = {'x' : np.random.uniform(size=(N,)),
'y' : np.random.uniform(size=(N,)),
}
scatter = vincent.Scatter(multi_iter2, iter_idx='x', height=400, width=600)
data = json.loads(scatter.to_json())
f = features.Figure()
v = features.Vega(data, height=40, width=600)
f.add_children(v)
f
import vincent, json
import numpy as np
N=100
multi_iter2 = {'x' : np.random.uniform(size=(N,)),
'y' : np.random.uniform(size=(N,)),
}
scatter = vincent.Scatter(multi_iter2, iter_idx='x', height=250, width=420)
data = json.loads(scatter.to_json())
f = features.Figure()
# Create two maps
m = features.Map([0,0], tiles='stamenwatercolor',
zoom_start=1, position='absolute', left="0%", width="50%", height="50%")
m2 = features.Map([46,3], tiles='mapquestopen',
zoom_start=4, position='absolute', left="50%", width="50%", height='50%',top='50%')
# Create two Vega
v = features.Vega(data, position='absolute', left="50%", width="50%", height="50%")
v2 = features.Vega(data, position='absolute', left="0%", width="50%", height="50%", top='50%')
f.add_children(m)
f.add_children(m2)
f.add_children(v)
f.add_children(v2)
f
N=1000
lons = +5 - np.random.normal(size=N)
lats = 48 - np.random.normal(size=N)
data = {
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "MultiPoint",
"coordinates": [[lon, lat] for (lat,lon) in zip(lats,lons)],
},
"properties": {"prop0": "value0"}
},
],
}
m = features.Map([48.,5.], zoom_start=6)
m.add_children(features.GeoJson(data))
m
N = 100
data = np.array([
np.random.uniform(low=35,high=60, size=N), # random latitudes in Europe
np.random.uniform(low=-12,high=30, size=N), # random longitudes in Europe
range(N), # popups are simple numbers
]).T
m = features.Map([45.,3.], zoom_start=4)
mc = features.MarkerCluster()
for i in range(N):
mk = features.Marker([data[i][0],data[i][1]])
p = features.Popup(str(data[i][2]))
mk.add_children(p)
mc.add_children(mk)
m.add_children(mc)
m
import vincent, json
import numpy as np
N=100
multi_iter2 = {'x' : np.random.uniform(size=(N,)),
'y' : np.random.uniform(size=(N,)),
}
scatter = vincent.Scatter(multi_iter2, iter_idx='x', height=250, width=420)
data = json.loads(scatter.to_json())
f = features.Figure()
d1 = f.add_subplot(1,2,1)
d2 = f.add_subplot(1,2,2)
d1.add_children(features.Map([0,0], tiles='stamenwatercolor', zoom_start=1))
d2.add_children(features.Map([46,3], tiles='mapquestopen', zoom_start=5))
f
import pandas as pd
import json
geojson_data = json.load(open('us-states.json'))
sd = pd.read_csv('US_Unemployment_Oct2012.csv').set_index('State')['Unemployment'].to_dict()
f = features.Figure()
m = features.Map([43,-100], zoom_start=4)
g = features.GeoJson(geojson_data)
f.add_children(m)
m.add_children(g)
g.add_children(features.GeoJsonStyle([3.0, 7.0, 8.0, 9.0, 9.0], 'YlGn', sd, key_on='feature.id'))
f
from folium.features import *