{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
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},
"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": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"\n",
"\n",
"state_geo = os.path.join('data', 'us-states.json')\n",
"state_unemployment = os.path.join('data', 'US_Unemployment_Oct2012.csv')\n",
"\n",
"state_data = pd.read_csv(state_unemployment)\n",
"\n",
"m = folium.Map(location=[48, -102], zoom_start=3, tiles='Stamen Toner')\n",
"m.choropleth(\n",
" geo_path=state_geo,\n",
" data=state_data,\n",
" columns=['State', 'Unemployment'],\n",
" key_on='feature.id',\n",
" fill_color='YlGn',\n",
" fill_opacity=0.7,\n",
" line_opacity=0.2,\n",
" legend_name='Unemployment Rate (%)'\n",
")\n",
"\n",
"\n",
"popup = 'Must be on top of the choropleth'\n",
"\n",
"m.add_child(folium.CircleMarker(location=[48, -102], radius=10, popup=popup))\n",
"\n",
"m.save(os.path.join('results', 'CheckZorder.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
}