Add geopy geocoding example

.gitignore

@@ -127,3 +127,5 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
+notebooks/CITYBIKEOGD.json
+notebooks/ELADESTELLEOGD.json

notebooks/index.ipynb

@@ -1,5 +1,12 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Welcome to the OGD.AT Lab!"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -8,10 +15,19 @@
    "source": [
     "from os.path import exists\n",
     "from urllib.request import urlretrieve\n",
+    "import pandas as pd\n",
     "import geopandas as gpd\n",
+    "from shapely.geometry import Point\n",
     "import hvplot.pandas"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Fetching geodata from data.wien.gv.at WFS"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -60,7 +76,7 @@
    "outputs": [],
    "source": [
     "def hvplot_with_buffer(gdf, buffer_size, title=''):\n",
-    "    buffered = gdf.to_crs('epsg:31287').buffer(100)\n",
+    "    buffered = gdf.to_crs('epsg:31287').buffer(buffer_size)\n",
     "    buffered = gdf.copy().set_geometry(buffered).to_crs('epsg:4326')\n",
     "    \n",
     "    plot = ( buffered.hvplot(geo=True, title=title, tiles='OSM', width=SIZE, height=SIZE, alpha=0.5, line_width=0) * \n",
@@ -97,6 +113,72 @@
     "hvplot_with_buffer(gdf, 100, title='EV Charging Stations') + hvplot_with_buffer(gdf2, 100, title='Citybike Stations')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualize features around an address"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geopy\n",
+    "from geopy.geocoders import Nominatim"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "address = \"Giefinggasse 2, 1210 Wien\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "locator = Nominatim(user_agent=\"myGeocoder\")\n",
+    "location = locator.geocode(address)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(location.address)\n",
+    "print(\"Latitude = {}, Longitude = {}\".format(location.latitude, location.longitude))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geocoded_gdf = gpd.GeoDataFrame(pd.DataFrame([\n",
+    "    {'geometry': Point(location.longitude, location.latitude), 'address': address}\n",
+    "])).set_crs('epsg:4326')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hvplot_with_buffer(geocoded_gdf, 1000, title='EV Charging Stations') * gdf.hvplot(geo=True).opts(active_tools=['wheel_zoom']) "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,