{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.5.0+48.gbbfb350.dirty\n"
]
}
],
"source": [
"import os\n",
"import folium\n",
"\n",
"\n",
"print(folium.__version__)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plugin: leaflet-search\n",
"\n",
"## Polygon search layer"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"\n",
"\n",
"with open(os.path.join('data', 'search_states.json')) as f:\n",
" states = json.loads(f.read())\n",
"\n",
"\n",
"def getColor(d):\n",
" if d > 1000:\n",
" return '#800026'\n",
" if d > 500:\n",
" return '#BD0026'\n",
" if d > 200:\n",
" return '#E31A1C'\n",
" if d > 100:\n",
" return '#FC4E2A'\n",
" if d > 50:\n",
" return '#FD8D3C'\n",
" if d > 20:\n",
" return '#FEB24C'\n",
" if d > 10:\n",
" return '#FED976'\n",
" else:\n",
" return '#FFEDA0'\n",
"\n",
"\n",
"for state in states['features']:\n",
" state['properties']['color'] = getColor(state['properties']['density'])"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from folium import plugins\n",
"\n",
"\n",
"m = folium.Map(\n",
" location=[37.8, -96],\n",
" tiles='cartodbpositron',\n",
" zoom_start=3,\n",
")\n",
"\n",
"plugins.Search(states, search_zoom=6, geom_type='Polygon').add_to(m)\n",
"\n",
"m.save(os.path.join('results', 'Plugins_search_polygon.html'))\n",
"\n",
"m"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Points search layer"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"m = folium.Map(\n",
" location=[41.9, 12.5],\n",
" tiles='cartodbpositron',\n",
" zoom_start=12,\n",
")\n",
"\n",
"\n",
"with open(os.path.join('data', 'search_bars_rome.json')) as f:\n",
" bars = json.loads(f.read())\n",
"\n",
"plugins.Search(bars, search_zoom=20).add_to(m)\n",
"\n",
"\n",
"m.save(os.path.join('results', 'Plugins_search_points.html'))\n",
"\n",
"m"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}