{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ipyleaflet\n",
    "import json\n",
    "import pandas as pd\n",
    "from branca.colormap import linear\n",
    "\n",
    "geo_json_data = json.load(open(\"us-states.json\"))\n",
    "m = ipyleaflet.Map(center=(43, -100), zoom=4)\n",
    "unemployment = pd.read_csv(\"US_Unemployment_Oct2012.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "unemployment = dict(\n",
    "    zip(unemployment[\"State\"].tolist(), unemployment[\"Unemployment\"].tolist())\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "colormap = linear.YlOrRd_04\n",
    "layer = ipyleaflet.Choropleth(\n",
    "    geo_data=geo_json_data,\n",
    "    choro_data=unemployment,\n",
    "    colormap=colormap,\n",
    "    style={\"fillOpacity\": 0.8, \"dashArray\": \"5, 5\"},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "colormap_control = ipyleaflet.ColormapControl(\n",
    "    caption='Unemployment rate',\n",
    "    colormap=colormap,\n",
    "    value_min=layer.value_min,\n",
    "    value_max=layer.value_max,\n",
    "    position='topright',\n",
    "    transparent_bg=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m.add(layer)\n",
    "m.add(colormap_control)\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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