{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.3.0.dev\n"
]
}
],
"source": [
"import os\n",
"import folium\n",
"\n",
"print(folium.__version__)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"size = 1000\n",
"lons = np.random.randint(-180, 180, size=size)\n",
"lats = np.random.randint(-90, 90, size=size)\n",
"\n",
"locations = list(zip(lons, lats))\n",
"popups = ['{}'.format(loc) for loc in locations]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from folium.plugins import MarkerCluster\n",
"\n",
"m = folium.Map(location=[np.mean(lats), np.mean(lons)],\n",
" tiles='Cartodb Positron', zoom_start=1)\n",
"\n",
"m.add_child(MarkerCluster(locations=locations, popups=popups))\n",
"\n",
"m.save(os.path.join('results', '1000_MarkerCluster.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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 0
}