Add new guides as examples

Author: nanaeaubry

guide/12-enrich-data-with-thematic-information/part2_where_to_enrich_study_areas.ipynb

@@ -3095,227 +3095,6 @@
     "county_map.legend=True"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Enriching Arbitrary Geometries"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Enrichment not only works on clearly defined geometries such as county or state boundaries but it can also power arbitrary goemetires (random polygon on a map or an area covering parts of different counties etc.) just as well. Let's look at an example of how an arbitrary geometry can be `enrich()`ed.\n",
-    "\n",
-    "In this example, we will:\n",
-    "1. Draw a map of Los Angeles, CA\n",
-    "2. Ask the user to draw a polygon on the map\n",
-    "3. Enrich the polygon drawn by the user\n",
-    "4. Visualize enriched geometry on a map"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Create a Map"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4123363b1ef747d38056748b5e4d9d10",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "MapView(layout=Layout(height='400px', width='100%'))"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div class=\"map-static-img-preview-0d046912-a010-4260-a277-c0330a5ff828\"><img src=\"\"></img></div>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div class=\"map-html-embed-preview-0d046912-a010-4260-a277-c0330a5ff828\"></div>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "la_map = gis.map('Los Angeles, CA')\n",
-    "la_map"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Enable User Input\n",
-    "\n",
-    "Here, we will define a callback function that enables user input. If no input is provided, a default polygon geometry will be enriched."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Define the callback function.\n",
-    "drawn_polygon = None\n",
-    "def draw_poly(la_map, g):\n",
-    "    global drawn_polygon\n",
-    "    drawn_polygon = g\n",
-    "\n",
-    "# Set draw_poly as the callback function to be invoked when a polygon is drawn on the map\n",
-    "drawn_polygon = la_map.on_draw_end(draw_poly)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, run the cell below and then draw a polygon on `la_map`, finish drawing by double clicking the mouse pointer. If no map is drawn within 30 seconds, a default polygon geometry will be used for enrichment."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import time\n",
-    "# Draw polygon\n",
-    "la_map.draw(\"polygon\")\n",
-    "\n",
-    "# Sleep for 30 seconds\n",
-    "time.sleep(30)\n",
-    "\n",
-    "# Use this as default polygon if no polygon drawn on map\n",
-    "drawn_polygon = {'spatialReference': {'latestWkid': 3857, 'wkid': 102100},\n",
-    " 'rings': [[[-13176442.352731517, 4035051.715228523],\n",
-    "   [-13167152.267973447, 4032788.462594141],\n",
-    "   [-13169738.58648519, 4023675.1384639805],\n",
-    "   [-13178995.82720767, 4028428.5661604665],\n",
-    "   [-13176442.352731517, 4035051.715228523]]]}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'spatialReference': {'latestWkid': 3857, 'wkid': 102100},\n",
-       " 'rings': [[[-13176442.352731517, 4035051.715228523],\n",
-       "   [-13167152.267973447, 4032788.462594141],\n",
-       "   [-13169738.58648519, 4023675.1384639805],\n",
-       "   [-13178995.82720767, 4028428.5661604665],\n",
-       "   [-13176442.352731517, 4035051.715228523]]]}"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Check drawn polygon\n",
-    "drawn_polygon"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Enrich Drawn Geometry"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from arcgis.geometry import Polygon\n",
-    "poly = Polygon(drawn_polygon)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Note: This will take some time to run\n",
-    "enriched_line_df2 = enrich(study_areas=[poly], \n",
-    "       analysis_variables=[\"Age.FEM45\",\"Age.FEM55\",\"Age.FEM65\"])\n",
-    "\n",
-    "enriched_line_df2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Visualize Enriched Geometry"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Plot on a map\n",
-    "poly_map2 = gis.map('Los Angeles, CA')\n",
-    "poly_map2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can clearly see the enriched geometry on this map. Clicking on the geometry will display enriched features."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Plot enriched area around line\n",
-    "enriched_line_df2.spatial.plot(poly_map2)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -3354,7 +3133,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.11"
+   "version": "3.9.11 [MSC v.1931 64 bit (AMD64)]"
   },
   "livereveal": {
    "scroll": true

guide/12-enrich-data-with-thematic-information/part3_where_to_enrich_named_stat_areas.ipynb

@@ -1384,7 +1384,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.11"
+   "version": "3.9.11 [MSC v.1931 64 bit (AMD64)]"
   },
   "livereveal": {
    "scroll": true