Add mobility notebook

.gitignore

@@ -137,3 +137,4 @@ notebooks/WAHLSPRGR2020OGD.json
 notebooks/ZAEHLBEZIRKOGD.json
 notebooks/ZAEHLSPRGR0OGD.json
 notebooks/lumesakt.csv
+*.zip

notebooks/mobility.ipynb

@@ -0,0 +1,87 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Urban Mobility\n",
+    "\n",
+    "[![Binder](http://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/anitagraser/ogd-at-lab/main?urlpath=lab/tree/notebooks/mobility.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import hvplot.pandas\n",
+    "from utils.dataaccess import get_uber_movement_gdf"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Uber Movement\n",
+    "\n",
+    "Source: https://movement.uber.com/explore/vienna/travel-times\n",
+    "\n",
+    "© 2021 Copyright Uber Technologies. Data made available under the [Creative Commons, Attribution Non-Commercial](https://creativecommons.org/licenses/by-nc/3.0/us/) license"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf = get_uber_movement_gdf()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ID = 3\n",
+    "COL = 'mean_travel_time'\n",
+    "MONTH = 1\n",
+    "( \n",
+    "    gdf[(gdf.sourceid==ID) & (gdf.month==MONTH)].dropna(subset=[COL]).hvplot(\n",
+    "        geo=True, tiles='OSM', c=COL, title=f'{COL.title()} - Month: 2020-{MONTH}') * \n",
+    "    gdf[gdf.index==ID].hvplot(geo=True).opts(active_tools=['wheel_zoom'])\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.7.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

notebooks/utils/dataaccess.py

@@ -117,4 +117,29 @@ def get_zaehlsprengel_gdf(year=2020):
         urlretrieve(url, file)
     gdf = gpd.read_file(f'zip://{file}')
     return gdf
-                             
+
+def get_uber_movement_gdf():
+    """
+    Get geopandas.GeoDataFrame of Uber Movement data
+    
+    Source: https://movement.uber.com/explore/vienna/travel-times
+    © 2021 Copyright Uber Technologies, Inc. Data Attributions
+    
+    Data is made available under [CC BY-NC 3.0 US](https://creativecommons.org/licenses/by-nc/3.0/us/)
+    """
+    file = 'uber_vienna_statistical_areas.zip'
+    url = 'https://github.com/anitagraser/ogd-at-lab-data/raw/main/uber/vienna_statistical_areas.zip'
+    if not exists(file):
+        urlretrieve(url, file)
+    gdf = gpd.read_file(f'zip://{file}')
+    gdf['MOVEMENT_ID'] = gdf['MOVEMENT_ID'].astype(int)
+    gdf.set_index('MOVEMENT_ID', inplace=True)
+
+    file = 'uber_vienna-statistical_areas-2020-1-All-MonthlyAggregate.zip'
+    url = 'https://github.com/anitagraser/ogd-at-lab-data/raw/main/uber/vienna-statistical_areas-2020-1-All-MonthlyAggregate.zip'
+    if not exists(file):
+        urlretrieve(url, file)
+    df = pd.read_csv(file)
+    df.set_index('dstid', inplace=True)
+
+    return gdf.join(df)