Cool-Folium-And-Geopy-Maps.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing the needed modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from geopy.geocoders import Nominatim\n",
    "from shapely.geometry import Point, LineString\n",
    "import geopandas as gpd\n",
    "import folium \n",
    "import matplotlib.pyplot as plt\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "city_list = ['Accra', 'Cairo', 'Harare', 'Lagos', 'Dakar', 'Kumasi', 'Cape Town', 'Nairobi', 'Pretoria', 'Freetown', 'Algiers', 'Tripoli']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating a geopy function to help with the geocoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_coordinates(city_list):\n",
    "    \"\"\"Takes a list of cities and returns a dictionary of the cities and their corresponding coordinates.\"\"\"\n",
    "    geolocator = Nominatim(user_agent=\"location script\")\n",
    "    dicto = {}\n",
    "    \n",
    "    for city in city_list:\n",
    "        try:\n",
    "            location = geolocator.geocode(city)\n",
    "        except:\n",
    "            raise Exception(\"There was a problem with the getCoordinates function\")\n",
    "        coordinate_values = (location.longitude, location.latitude)  #in geopandas, the x value corresponds to the longitude while the y value, the latitude(Just in case you were wondering why it was *location.longitude, location.latitude* and not the other way round )\n",
    "        dicto[city] = coordinate_values #adding the coordinate pair to the dictionary at the end of every loop\n",
    "    return dicto #finally retruns the dict "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Accra': (-0.2057437, 5.5600141),\n",
       " 'Cairo': (31.2357257, 30.0443879),\n",
       " 'Harare': (31.045686, -17.831773),\n",
       " 'Lagos': (3.3941795, 6.4550575),\n",
       " 'Dakar': (-17.447938, 14.693425),\n",
       " 'Kumasi': (-1.6230404, 6.698081),\n",
       " 'Cape Town': (18.417396, -33.928992),\n",
       " 'Nairobi': (36.826061224105075, -1.3031689499999999),\n",
       " 'Pretoria': (28.1879444, -25.7459374),\n",
       " 'Freetown': (-13.26795, 8.479004),\n",
       " 'Algiers': (2.9999825, 28.0000272),\n",
       " 'Tripoli': (13.1777923, 32.896672)}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city_list = ['Accra', 'Cairo', 'Harare', 'Lagos', 'Dakar', 'Kumasi', 'Cape Town', 'Nairobi', 'Pretoria', 'Freetown', 'Algiers', 'Tripoli']\n",
    "city_coords_dict = get_coordinates(city_list)\n",
    "city_coords_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting with Geopandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cities_geom = [Point(i) for i in city_coords_dict.values()]\n",
    "d = {'Cities':[city for city in city_coords_dict.keys()], 'geometry': cities_geom} #we have to create a gdf so that we can add the crs information so we need geopandas now\n",
    "cities_gdf = gpd.GeoDataFrame(d, crs=\"EPSG:4326\")\n",
    "cities_gdf\n",
    "cities_gdf.plot() \n",
    "plt.rcParams['figure.figsize'] = [10, 10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# load a sample geodataframe\n",
    "africa_gdf = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))  \n",
    "africa_gdf = africa_gdf[africa_gdf['continent'] == 'Africa']\n",
    "\n",
    "ax = africa_gdf.plot(color =  '#e3bccf', edgecolor = 'blue')\n",
    "plt.rcParams['figure.figsize'] = [10, 10] #we're able to call this because geopandas is built on top of pandas, which is built on top of  matplotlib\n",
    "\n",
    "for x, y, label in zip(africa_gdf.geometry.representative_point().x, africa_gdf.geometry.representative_point().y, africa_gdf.name):\n",
    "    ax.annotate(label, xy=(x, y))\n",
    "    \n",
    "cities_gdf.plot(ax=ax, color = 'orange')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert cities_gdf.crs == africa_gdf.crs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting with Folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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                {"attribution": "\u0026copy; \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eOpenStreetMap\u003c/a\u003e contributors \u0026copy; \u003ca href=\"http://cartodb.com/attributions\"\u003eCartoDB\u003c/a\u003e, CartoDB \u003ca href =\"http://cartodb.com/attributions\"\u003eattributions\u003c/a\u003e", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_7abac7d3e3a6456a9cb163721006b4bf);
        
    
        function geo_json_3d8d9568138746608d495fbac7f6ea6e_onEachFeature(feature, layer) {
            layer.on({
                click: function(e) {
                    map_7abac7d3e3a6456a9cb163721006b4bf.fitBounds(e.target.getBounds());
                }
            });
        };
        var geo_json_3d8d9568138746608d495fbac7f6ea6e = L.geoJson(null, {
                onEachFeature: geo_json_3d8d9568138746608d495fbac7f6ea6e_onEachFeature,
            
        });
        function geo_json_3d8d9568138746608d495fbac7f6ea6e_add (data) {
            geo_json_3d8d9568138746608d495fbac7f6ea6e.addData(data)
                .addTo(map_7abac7d3e3a6456a9cb163721006b4bf);
        }
            geo_json_3d8d9568138746608d495fbac7f6ea6e_add({"bbox": [-17.447938, -33.928992, 36.826061224105075, 32.896672], "features": [{"bbox": [-0.2057437, 5.5600141, -0.2057437, 5.5600141], "geometry": {"coordinates": [-0.2057437, 5.5600141], "type": "Point"}, "id": "0", "properties": {}, "type": "Feature"}, {"bbox": [31.2357257, 30.0443879, 31.2357257, 30.0443879], "geometry": {"coordinates": [31.2357257, 30.0443879], "type": "Point"}, "id": "1", "properties": {}, "type": "Feature"}, {"bbox": [31.045686, -17.831773, 31.045686, -17.831773], "geometry": {"coordinates": [31.045686, -17.831773], "type": "Point"}, "id": "2", "properties": {}, "type": "Feature"}, {"bbox": [3.3941795, 6.4550575, 3.3941795, 6.4550575], "geometry": {"coordinates": [3.3941795, 6.4550575], "type": "Point"}, "id": "3", "properties": {}, "type": "Feature"}, {"bbox": [-17.447938, 14.693425, -17.447938, 14.693425], "geometry": {"coordinates": [-17.447938, 14.693425], "type": "Point"}, "id": "4", "properties": {}, "type": "Feature"}, {"bbox": [-1.6230404, 6.698081, -1.6230404, 6.698081], "geometry": {"coordinates": [-1.6230404, 6.698081], "type": "Point"}, "id": "5", "properties": {}, "type": "Feature"}, {"bbox": [18.417396, -33.928992, 18.417396, -33.928992], "geometry": {"coordinates": [18.417396, -33.928992], "type": "Point"}, "id": "6", "properties": {}, "type": "Feature"}, {"bbox": [36.826061224105075, -1.3031689499999999, 36.826061224105075, -1.3031689499999999], "geometry": {"coordinates": [36.826061224105075, -1.3031689499999999], "type": "Point"}, "id": "7", "properties": {}, "type": "Feature"}, {"bbox": [28.1879444, -25.7459374, 28.1879444, -25.7459374], "geometry": {"coordinates": [28.1879444, -25.7459374], "type": "Point"}, "id": "8", "properties": {}, "type": "Feature"}, {"bbox": [-13.26795, 8.479004, -13.26795, 8.479004], "geometry": {"coordinates": [-13.26795, 8.479004], "type": "Point"}, "id": "9", "properties": {}, "type": "Feature"}, {"bbox": [2.9999825, 28.0000272, 2.9999825, 28.0000272], "geometry": {"coordinates": [2.9999825, 28.0000272], "type": "Point"}, "id": "10", "properties": {}, "type": "Feature"}, {"bbox": [13.1777923, 32.896672, 13.1777923, 32.896672], "geometry": {"coordinates": [13.1777923, 32.896672], "type": "Point"}, "id": "11", "properties": {}, "type": "Feature"}], "type": "FeatureCollection"});
        
</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 0x2173515e8d0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gjson_cities = cities_gdf['geometry'].to_json()\n",
    "\n",
    "my_map = folium.Map(tiles='cartodb positron')\n",
    "cities = folium.features.GeoJson(gjson_cities)\n",
    "my_map.add_child(cities)\n",
    "my_map   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Doing more with Folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "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>Cities</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Accra</td>\n",
       "      <td>POINT (-0.20574 5.56001)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cairo</td>\n",
       "      <td>POINT (31.23573 30.04439)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harare</td>\n",
       "      <td>POINT (31.04569 -17.83177)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lagos</td>\n",
       "      <td>POINT (3.39418 6.45506)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dakar</td>\n",
       "      <td>POINT (-17.44794 14.69342)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Kumasi</td>\n",
       "      <td>POINT (-1.62304 6.69808)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Cape Town</td>\n",
       "      <td>POINT (18.41740 -33.92899)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Nairobi</td>\n",
       "      <td>POINT (36.82606 -1.30317)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Pretoria</td>\n",
       "      <td>POINT (28.18794 -25.74594)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Freetown</td>\n",
       "      <td>POINT (-13.26795 8.47900)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Algiers</td>\n",
       "      <td>POINT (2.99998 28.00003)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Tripoli</td>\n",
       "      <td>POINT (13.17779 32.89667)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Cities                    geometry\n",
       "0       Accra    POINT (-0.20574 5.56001)\n",
       "1       Cairo   POINT (31.23573 30.04439)\n",
       "2      Harare  POINT (31.04569 -17.83177)\n",
       "3       Lagos     POINT (3.39418 6.45506)\n",
       "4       Dakar  POINT (-17.44794 14.69342)\n",
       "5      Kumasi    POINT (-1.62304 6.69808)\n",
       "6   Cape Town  POINT (18.41740 -33.92899)\n",
       "7     Nairobi   POINT (36.82606 -1.30317)\n",
       "8    Pretoria  POINT (28.18794 -25.74594)\n",
       "9    Freetown   POINT (-13.26795 8.47900)\n",
       "10    Algiers    POINT (2.99998 28.00003)\n",
       "11    Tripoli   POINT (13.17779 32.89667)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities_geom = [Point(i) for i in city_coords_dict.values()]\n",
    "d = {'Cities':[city for city in city_coords_dict.keys()], 'geometry': cities_geom} #we have to create a gdf so that we can add the crs information \n",
    "cities_gdf = gpd.GeoDataFrame(d, crs = \"EPSG:4326\")\n",
    "cities_gdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>Cities</th>\n",
       "      <th>geometry</th>\n",
       "      <th>Name</th>\n",
       "      <th>Coords</th>\n",
       "      <th>Number_of_Employees</th>\n",
       "      <th>Website</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Accra</td>\n",
       "      <td>POINT (-0.20574 5.56001)</td>\n",
       "      <td>AYK Delivery, Accra</td>\n",
       "      <td>(-0.2057437, 5.5600141)</td>\n",
       "      <td>Employee count: 30</td>\n",
       "      <td>aykdelivery,accra.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cairo</td>\n",
       "      <td>POINT (31.23573 30.04439)</td>\n",
       "      <td>AYK Delivery, Cairo</td>\n",
       "      <td>(31.2357257, 30.0443879)</td>\n",
       "      <td>Employee count: 14</td>\n",
       "      <td>aykdelivery,cairo.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harare</td>\n",
       "      <td>POINT (31.04569 -17.83177)</td>\n",
       "      <td>AYK Delivery, Harare</td>\n",
       "      <td>(31.045686, -17.831773)</td>\n",
       "      <td>Employee count: 16</td>\n",
       "      <td>aykdelivery,harare.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lagos</td>\n",
       "      <td>POINT (3.39418 6.45506)</td>\n",
       "      <td>AYK Delivery, Lagos</td>\n",
       "      <td>(3.3941795, 6.4550575)</td>\n",
       "      <td>Employee count: 13</td>\n",
       "      <td>aykdelivery,lagos.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dakar</td>\n",
       "      <td>POINT (-17.44794 14.69342)</td>\n",
       "      <td>AYK Delivery, Dakar</td>\n",
       "      <td>(-17.447938, 14.693425)</td>\n",
       "      <td>Employee count: 13</td>\n",
       "      <td>aykdelivery,dakar.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Kumasi</td>\n",
       "      <td>POINT (-1.62304 6.69808)</td>\n",
       "      <td>AYK Delivery, Kumasi</td>\n",
       "      <td>(-1.6230404, 6.698081)</td>\n",
       "      <td>Employee count: 22</td>\n",
       "      <td>aykdelivery,kumasi.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Cape Town</td>\n",
       "      <td>POINT (18.41740 -33.92899)</td>\n",
       "      <td>AYK Delivery, Cape Town</td>\n",
       "      <td>(18.417396, -33.928992)</td>\n",
       "      <td>Employee count: 10</td>\n",
       "      <td>aykdelivery,capetown.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Nairobi</td>\n",
       "      <td>POINT (36.82606 -1.30317)</td>\n",
       "      <td>AYK Delivery, Nairobi</td>\n",
       "      <td>(36.826061224105075, -1.3031689499999999)</td>\n",
       "      <td>Employee count: 17</td>\n",
       "      <td>aykdelivery,nairobi.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Pretoria</td>\n",
       "      <td>POINT (28.18794 -25.74594)</td>\n",
       "      <td>AYK Delivery, Pretoria</td>\n",
       "      <td>(28.1879444, -25.7459374)</td>\n",
       "      <td>Employee count: 17</td>\n",
       "      <td>aykdelivery,pretoria.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Freetown</td>\n",
       "      <td>POINT (-13.26795 8.47900)</td>\n",
       "      <td>AYK Delivery, Freetown</td>\n",
       "      <td>(-13.26795, 8.479004)</td>\n",
       "      <td>Employee count: 21</td>\n",
       "      <td>aykdelivery,freetown.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Algiers</td>\n",
       "      <td>POINT (2.99998 28.00003)</td>\n",
       "      <td>AYK Delivery, Algiers</td>\n",
       "      <td>(2.9999825, 28.0000272)</td>\n",
       "      <td>Employee count: 30</td>\n",
       "      <td>aykdelivery,algiers.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Tripoli</td>\n",
       "      <td>POINT (13.17779 32.89667)</td>\n",
       "      <td>AYK Delivery, Tripoli</td>\n",
       "      <td>(13.1777923, 32.896672)</td>\n",
       "      <td>Employee count: 30</td>\n",
       "      <td>aykdelivery,tripoli.com</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Cities                    geometry                     Name  \\\n",
       "0       Accra    POINT (-0.20574 5.56001)      AYK Delivery, Accra   \n",
       "1       Cairo   POINT (31.23573 30.04439)      AYK Delivery, Cairo   \n",
       "2      Harare  POINT (31.04569 -17.83177)     AYK Delivery, Harare   \n",
       "3       Lagos     POINT (3.39418 6.45506)      AYK Delivery, Lagos   \n",
       "4       Dakar  POINT (-17.44794 14.69342)      AYK Delivery, Dakar   \n",
       "5      Kumasi    POINT (-1.62304 6.69808)     AYK Delivery, Kumasi   \n",
       "6   Cape Town  POINT (18.41740 -33.92899)  AYK Delivery, Cape Town   \n",
       "7     Nairobi   POINT (36.82606 -1.30317)    AYK Delivery, Nairobi   \n",
       "8    Pretoria  POINT (28.18794 -25.74594)   AYK Delivery, Pretoria   \n",
       "9    Freetown   POINT (-13.26795 8.47900)   AYK Delivery, Freetown   \n",
       "10    Algiers    POINT (2.99998 28.00003)    AYK Delivery, Algiers   \n",
       "11    Tripoli   POINT (13.17779 32.89667)    AYK Delivery, Tripoli   \n",
       "\n",
       "                                       Coords Number_of_Employees  \\\n",
       "0                     (-0.2057437, 5.5600141)  Employee count: 30   \n",
       "1                    (31.2357257, 30.0443879)  Employee count: 14   \n",
       "2                     (31.045686, -17.831773)  Employee count: 16   \n",
       "3                      (3.3941795, 6.4550575)  Employee count: 13   \n",
       "4                     (-17.447938, 14.693425)  Employee count: 13   \n",
       "5                      (-1.6230404, 6.698081)  Employee count: 22   \n",
       "6                     (18.417396, -33.928992)  Employee count: 10   \n",
       "7   (36.826061224105075, -1.3031689499999999)  Employee count: 17   \n",
       "8                   (28.1879444, -25.7459374)  Employee count: 17   \n",
       "9                       (-13.26795, 8.479004)  Employee count: 21   \n",
       "10                    (2.9999825, 28.0000272)  Employee count: 30   \n",
       "11                    (13.1777923, 32.896672)  Employee count: 30   \n",
       "\n",
       "                     Website  \n",
       "0      aykdelivery,accra.com  \n",
       "1      aykdelivery,cairo.com  \n",
       "2     aykdelivery,harare.com  \n",
       "3      aykdelivery,lagos.com  \n",
       "4      aykdelivery,dakar.com  \n",
       "5     aykdelivery,kumasi.com  \n",
       "6   aykdelivery,capetown.com  \n",
       "7    aykdelivery,nairobi.com  \n",
       "8   aykdelivery,pretoria.com  \n",
       "9   aykdelivery,freetown.com  \n",
       "10   aykdelivery,algiers.com  \n",
       "11   aykdelivery,tripoli.com  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities_gdf['Name'] = 'AYK Delivery, ' + cities_gdf['Cities']\n",
    "cities_gdf['Coords'] = city_coords_dict.values()\n",
    "cities_gdf['Number_of_Employees'] = random.randint(9, 30)\n",
    "cities_gdf['Number_of_Employees'] = ['Employee count: {}'.format(random.randint(9, 30)) for entry in cities_gdf['Number_of_Employees']]\n",
    "cities_gdf['Website'] = [\"\".join(i.split()).lower() + '.com' for i in cities_gdf['Name']]\n",
    "cities_gdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "the_map = folium.Map(location=[5.6, 26.17], tiles=\"cartodbpositron\", zoom_start=3.4)\n",
    "\n",
    "def add_markers_to_the_map(the_map, gdf, color, icon):  \n",
    "    points = list(zip(gdf.Coords, gdf.Name, gdf.Number_of_Employees, gdf.Website))\n",
    "    for point in points:         \n",
    "            popup_text = \"{}, {}, {}\".format(point[1], str(point[2]), point[3])\n",
    "        \n",
    "            popup = folium.Popup(popup_text, autopan='False', parse_html=True)\n",
    "                \n",
    "            marker = folium.Marker(location=[point[0][1], point[0][0]], \n",
    "                                   popup=popup, \n",
    "                                   icon = folium.Icon(icon_size=(25, 25), color=color, icon=icon, prefix='fa')).add_to(the_map)\n",
    "    return the_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><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@1.5.1/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@1.5.1/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>
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            <meta name="viewport" content="width=device-width,
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</head>
<body>    
    
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            var icon_133185b9d89a46f49ba9a88e45812eac = L.AwesomeMarkers.icon(
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            var marker_66ac6a215d114122a44905a3162f1a75 = L.marker(
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            );
            marker_66ac6a215d114122a44905a3162f1a75.setIcon(icon_a742282ffbcd4788a269eccf24dce42f);
        
    
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            var icon_a8f6aa5acfb040a3b27d46a909510f7f = L.AwesomeMarkers.icon(
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            );
            marker_9700db23d2334379816644f92857613b.setIcon(icon_a8f6aa5acfb040a3b27d46a909510f7f);
        
    
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            var marker_e1c7303817834a5780bc9be19d1b3291 = L.marker(
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            var icon_ee454cbc4c2348e1b0205fa0ab71ca2d = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "motorcycle", "iconColor": "white", "iconSize": [25, 25], "markerColor": "orange", "prefix": "fa"}
            );
            marker_e1c7303817834a5780bc9be19d1b3291.setIcon(icon_ee454cbc4c2348e1b0205fa0ab71ca2d);
        
    
        var popup_3e90a1c6abe341c3a1a503427fdfa75c = L.popup({"autopan": "False", "maxWidth": "100%"});

        
            var html_9aedd17588c44b51b69a69d649db02db = $(`<div id="html_9aedd17588c44b51b69a69d649db02db" style="width: 100.0%; height: 100.0%;">AYK Delivery, Pretoria, Employee count: 17, aykdelivery,pretoria.com</div>`)[0];
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        marker_e1c7303817834a5780bc9be19d1b3291.bindPopup(popup_3e90a1c6abe341c3a1a503427fdfa75c)
        ;

        
    
    
            var marker_183c4be7ab7c450f8a09110a97b1df5d = L.marker(
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                {}
            ).addTo(map_a9588be2e5ae4e71940cef31500c8c82);
        
    
            var icon_a84e5755b1fa410886057348a652fa3a = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "motorcycle", "iconColor": "white", "iconSize": [25, 25], "markerColor": "orange", "prefix": "fa"}
            );
            marker_183c4be7ab7c450f8a09110a97b1df5d.setIcon(icon_a84e5755b1fa410886057348a652fa3a);
        
    
        var popup_50e03f70f7654667937181e11ad98398 = L.popup({"autopan": "False", "maxWidth": "100%"});

        
            var html_a57f8c95717a4bed915f42e4bcf46306 = $(`<div id="html_a57f8c95717a4bed915f42e4bcf46306" style="width: 100.0%; height: 100.0%;">AYK Delivery, Freetown, Employee count: 21, aykdelivery,freetown.com</div>`)[0];
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            var marker_6c1570b88e5f488b8c3e0a501bd1695d = L.marker(
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                {}
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            var icon_988034f8e4974b8d9af92914d3ad3948 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "motorcycle", "iconColor": "white", "iconSize": [25, 25], "markerColor": "orange", "prefix": "fa"}
            );
            marker_6c1570b88e5f488b8c3e0a501bd1695d.setIcon(icon_988034f8e4974b8d9af92914d3ad3948);
        
    
        var popup_5188213f04414f6fafca05b8927db4a1 = L.popup({"autopan": "False", "maxWidth": "100%"});

        
            var html_d0e4b8b4972a49508653772360a3360e = $(`<div id="html_d0e4b8b4972a49508653772360a3360e" style="width: 100.0%; height: 100.0%;">AYK Delivery, Algiers, Employee count: 30, aykdelivery,algiers.com</div>`)[0];
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        ;

        
    
    
            var marker_b4700284c81d4cadb148d2cde208cd56 = L.marker(
                [32.896672, 13.1777923],
                {}
            ).addTo(map_a9588be2e5ae4e71940cef31500c8c82);
        
    
            var icon_7a8ea1a51ba4420bb0d009e00c7782bc = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "motorcycle", "iconColor": "white", "iconSize": [25, 25], "markerColor": "orange", "prefix": "fa"}
            );
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        var popup_b65d524ddc1a44f99a056840a1b6bede = L.popup({"autopan": "False", "maxWidth": "100%"});

        
            var html_39aaa98a3bd441ed893e50a34074d59c = $(`<div id="html_39aaa98a3bd441ed893e50a34074d59c" style="width: 100.0%; height: 100.0%;">AYK Delivery, Tripoli, Employee count: 30, aykdelivery,tripoli.com</div>`)[0];
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</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 0x217356cd400>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "add_markers_to_the_map(the_map, cities_gdf, color = 'orange', icon='motorcycle')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "the_map.save('C:/Users/ALBERTA ANIM-AYEKO/Desktop/Python/Medium/TDS/WRITTEN/MAKING COOL MAPS WITH FOLIUM AND GEOPY/templates/the_map.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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