Simple Map with Folium

Simple_Map_with_Folium.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sample Data including geographical location\n",
    "data = \"\"\"Name,Address,Lat,Lon\n",
    "EU,\"Rue de la Loi/Wetstraat 175, Brussel, Belgium\",50.842313,4.382300\n",
    "Apple,\"1 Apple Park Way, Cupertino, CA\",37.329428,-122.010258\n",
    "Google,\"1600 Amphitheatre Parkway Mountain View, CA 94043\",37.422058,-122.084090\n",
    "UN,\"760 United Nations Plaza; Manhattan, New York City\",40.748898,-73.968209\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import io"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Address</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>EU</td>\n",
       "      <td>Rue de la Loi/Wetstraat 175, Brussel, Belgium</td>\n",
       "      <td>50.842313</td>\n",
       "      <td>4.382300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Apple</td>\n",
       "      <td>1 Apple Park Way, Cupertino, CA</td>\n",
       "      <td>37.329428</td>\n",
       "      <td>-122.010258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Google</td>\n",
       "      <td>1600 Amphitheatre Parkway Mountain View, CA 94043</td>\n",
       "      <td>37.422058</td>\n",
       "      <td>-122.084090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>UN</td>\n",
       "      <td>760 United Nations Plaza; Manhattan, New York ...</td>\n",
       "      <td>40.748898</td>\n",
       "      <td>-73.968209</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Name                                            Address        Lat  \\\n",
       "0      EU      Rue de la Loi/Wetstraat 175, Brussel, Belgium  50.842313   \n",
       "1   Apple                    1 Apple Park Way, Cupertino, CA  37.329428   \n",
       "2  Google  1600 Amphitheatre Parkway Mountain View, CA 94043  37.422058   \n",
       "3      UN  760 United Nations Plaza; Manhattan, New York ...  40.748898   \n",
       "\n",
       "          Lon  \n",
       "0    4.382300  \n",
       "1 -122.010258  \n",
       "2 -122.084090  \n",
       "3  -73.968209  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(io.StringIO(data))\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_6656d2a55ea64cf99db88d5dcebd06c9 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/leaflet.markercluster.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.Default.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_6656d2a55ea64cf99db88d5dcebd06c9" ></div>
        
</body>
<script>    
    
            var map_6656d2a55ea64cf99db88d5dcebd06c9 = L.map(
                "map_6656d2a55ea64cf99db88d5dcebd06c9",
                {
                    center: [41.58567425, -78.42006425],
                    crs: L.CRS.EPSG3857,
                    zoom: 2,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_b1b2ba21468e40edb5f9b4136d8ffca0 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_6656d2a55ea64cf99db88d5dcebd06c9);
        
    
            var marker_cluster_0007480c62cb479f9ba48335f8cb2f2c = L.markerClusterGroup(
                {}
            );
            map_6656d2a55ea64cf99db88d5dcebd06c9.addLayer(marker_cluster_0007480c62cb479f9ba48335f8cb2f2c);
        
    
            var marker_d67fa09f89214f14a396a8b2771822e2 = L.marker(
                [50.842313, 4.3823],
                {}
            ).addTo(marker_cluster_0007480c62cb479f9ba48335f8cb2f2c);
        
    
        var popup_d20d7e4d9dd6438598af08c5a2dbf902 = L.popup({"maxWidth": "100%"});

        
            var html_52d68d9503ef4dcf84552ca847c9de6e = $(`<div id="html_52d68d9503ef4dcf84552ca847c9de6e" style="width: 100.0%; height: 100.0%;">EU</div>`)[0];
            popup_d20d7e4d9dd6438598af08c5a2dbf902.setContent(html_52d68d9503ef4dcf84552ca847c9de6e);
        

        marker_d67fa09f89214f14a396a8b2771822e2.bindPopup(popup_d20d7e4d9dd6438598af08c5a2dbf902)
        ;

        
    
    
            marker_d67fa09f89214f14a396a8b2771822e2.bindTooltip(
                `<div>
                     EU
                 </div>`,
                {"sticky": true}
            );
        
    
            var marker_489993fe658a4604a0302a14810618d7 = L.marker(
                [37.329428, -122.01025800000001],
                {}
            ).addTo(marker_cluster_0007480c62cb479f9ba48335f8cb2f2c);
        
    
        var popup_65c286506d94429cb25c484f4230891c = L.popup({"maxWidth": "100%"});

        
            var html_2f06a2d6239f4da98e0f7f3a05871b82 = $(`<div id="html_2f06a2d6239f4da98e0f7f3a05871b82" style="width: 100.0%; height: 100.0%;">Apple</div>`)[0];
            popup_65c286506d94429cb25c484f4230891c.setContent(html_2f06a2d6239f4da98e0f7f3a05871b82);
        

        marker_489993fe658a4604a0302a14810618d7.bindPopup(popup_65c286506d94429cb25c484f4230891c)
        ;

        
    
    
            marker_489993fe658a4604a0302a14810618d7.bindTooltip(
                `<div>
                     Apple
                 </div>`,
                {"sticky": true}
            );
        
    
            var marker_3cf4f30772d34b1cb8c1577cdc3ca9f1 = L.marker(
                [37.422058, -122.08408999999999],
                {}
            ).addTo(marker_cluster_0007480c62cb479f9ba48335f8cb2f2c);
        
    
        var popup_216431d2e5394ea782cf91208279dfe7 = L.popup({"maxWidth": "100%"});

        
            var html_4f54eff6514e4474b0f518430a2fe55a = $(`<div id="html_4f54eff6514e4474b0f518430a2fe55a" style="width: 100.0%; height: 100.0%;">Google</div>`)[0];
            popup_216431d2e5394ea782cf91208279dfe7.setContent(html_4f54eff6514e4474b0f518430a2fe55a);
        

        marker_3cf4f30772d34b1cb8c1577cdc3ca9f1.bindPopup(popup_216431d2e5394ea782cf91208279dfe7)
        ;

        
    
    
            marker_3cf4f30772d34b1cb8c1577cdc3ca9f1.bindTooltip(
                `<div>
                     Google
                 </div>`,
                {"sticky": true}
            );
        
    
            var marker_db8ed255af834712a11564d1b26e5ec8 = L.marker(
                [40.748898, -73.968209],
                {}
            ).addTo(marker_cluster_0007480c62cb479f9ba48335f8cb2f2c);
        
    
        var popup_e8f995c66dc141f891ba41622427295b = L.popup({"maxWidth": "100%"});

        
            var html_4e8784cdbee6497593922f69de6a38d3 = $(`<div id="html_4e8784cdbee6497593922f69de6a38d3" style="width: 100.0%; height: 100.0%;">UN</div>`)[0];
            popup_e8f995c66dc141f891ba41622427295b.setContent(html_4e8784cdbee6497593922f69de6a38d3);
        

        marker_db8ed255af834712a11564d1b26e5ec8.bindPopup(popup_e8f995c66dc141f891ba41622427295b)
        ;

        
    
    
            marker_db8ed255af834712a11564d1b26e5ec8.bindTooltip(
                `<div>
                     UN
                 </div>`,
                {"sticky": true}
            );
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x2873cebdf08>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# import packages, see https://python-visualization.github.io/folium/\n",
    "import folium\n",
    "from folium.plugins import MarkerCluster\n",
    "\n",
    "# center to the mean of all points\n",
    "m = folium.Map(location=df[[\"Lat\", \"Lon\"]].mean().to_list(), zoom_start=2)\n",
    "\n",
    "# if the points are too close to each other, cluster them, create a cluster overlay with MarkerCluster\n",
    "marker_cluster = MarkerCluster().add_to(m)\n",
    "\n",
    "# draw the markers and assign popup and hover texts\n",
    "# add the markers the the cluster layers so that they are automatically clustered\n",
    "for i,r in df.iterrows():\n",
    "    location = (r[\"Lat\"], r[\"Lon\"])\n",
    "    folium.Marker(location=location,\n",
    "                      popup = r['Name'],\n",
    "                      tooltip=r['Name'])\\\n",
    "    .add_to(marker_cluster)\n",
    "\n",
    "# display the map\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dave to a file\n",
    "m.save(\"folium_map.html\")"
   ]
  }
 ],
 "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}