Jupyter Dashboard for Exploring World Population

samples/02_power_users_developers/population_exploration_dashboard.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Explore the Population!\n",
+    "This Dashboard uses the Geoenrichment API to alow users to pan around the world and explore the population of a selected AOI. Let's start by logging into ArcGIS Online and loading the *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "version": 1,
+      "views": {
+       "grid_default": {
+        "hidden": true
+       },
+       "report_default": {
+        "hidden": true
+       }
+      }
+     }
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from IPython.display import display, clear_output\n",
+    "import ipywidgets as widgets\n",
+    "\n",
+    "from arcgis.features import SpatialDataFrame\n",
+    "from arcgis.geoenrichment import enrich\n",
+    "from arcgis.raster import ImageryLayer\n",
+    "from arcgis.geometry import Geometry\n",
+    "from arcgis.gis import GIS\n",
+    "\n",
+    "gis = GIS(\"http://www.arcgis.com/home\", \"name\", \"pword\")\n",
+    "img_svc ='https://landscape7.arcgis.com/arcgis/rest/services/World_Population_Density_Estimate_2016/ImageServer/'\n",
+    "img_lyr = ImageryLayer(img_svc, gis=gis)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "version": 1,
+      "views": {
+       "grid_default": {
+        "col": 8,
+        "height": 4,
+        "hidden": false,
+        "row": 24,
+        "width": 4
+       },
+       "report_default": {}
+      }
+     }
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       ".intro {\n",
+       "    padding: 10px; \n",
+       "    color: #202020;\n",
+       "    font-family: 'Helvetica'\n",
+       "}\n",
+       ".map {\n",
+       "    border: solid;\n",
+       "    height: 450;\n",
+       "}\n",
+       "</style>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%html\n",
+    "<style>\n",
+    ".intro {\n",
+    "    padding: 10px; \n",
+    "    color: #202020;\n",
+    "    font-family: 'Helvetica'\n",
+    "}\n",
+    ".map {\n",
+    "    border: solid;\n",
+    "    height: 450;\n",
+    "}\n",
+    "</style>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "version": 1,
+      "views": {
+       "grid_default": {
+        "hidden": true
+       },
+       "report_default": {
+        "hidden": true
+       }
+      }
+     }
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# run_btn on_click\n",
+    "def running(button_object):\n",
+    "    \n",
+    "    viz_map.clear_graphics()\n",
+    "\n",
+    "    #print('GeoEnriched Cell Data')\n",
+    "    #print('-' * 75)\n",
+    "\n",
+    "    the_geom = Geometry(viz_map.extent)\n",
+    "    enriched = SpatialDataFrame(enrich([the_geom], gis=gis))\n",
+    "    \n",
+    "    if 'TOTPOP' not in list(enriched):\n",
+    "        enriched_pop = -1\n",
+    "    else:\n",
+    "        enriched_pop = enriched.TOTPOP[0]\n",
+    "    \n",
+    "    samples = img_lyr.get_samples(the_geom.project_as(4326))# sample_count=img_lyr.properties.maxImageHeight)\n",
+    "    sample_sum = sum([float(sample['value']) for sample in samples])\n",
+    "    \n",
+    "    print('GeoEnrichment Population Results: {}'.format(enriched_pop))\n",
+    "    #print('the Geom: {}'.format(the_geom))\n",
+    "    #print('Sample Count: {}'.format(img_lyr.properties.maxImageHeight))\n",
+    "    #print('Image Server Results:  {}'.format(sample_sum))\n",
+    "    \n",
+    "    title = 'GeoEnriched Cell'\n",
+    "\n",
+    "    for feature in enriched.to_featureset():\n",
+    "        \n",
+    "        # Expand Attributes With New Lines\n",
+    "        content = \"{}\".format(\n",
+    "            '<br/>'.join(['%s: %s' % (key.upper(), value) for (key, value) in feature.attributes.items()])\n",
+    "        )\n",
+    "        \n",
+    "        # Add Cell to Map\n",
+    "        viz_map.draw(feature.geometry, popup={'title': title, 'content': content})\n",
+    "\n",
+    "    #print('-' * 75)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "version": 1,
+      "views": {
+       "grid_default": {
+        "col": 0,
+        "height": 24,
+        "hidden": false,
+        "row": 0,
+        "width": null
+       },
+       "report_default": {
+        "hidden": false
+       }
+      }
+     }
+    },
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "066baf6fe6154fa4a77ca91cb6ee1ab4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "MapView(basemaps=['dark-gray', 'dark-gray-vector', 'gray', 'gray-vector', 'hybrid', 'national-geographic', 'oc…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1e9068b1e8bd4d8d975bc837a6453846",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(Button(button_style='success', description='Fetch Extent', layout=Layout(justify_content='cente…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "GeoEnrichment Population Results: 1146296\n",
+      "GeoEnrichment Population Results: 321066\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create & Display Map\n",
+    "viz_map = gis.map('St Louis')\n",
+    "viz_map.add_layer(img_lyr)\n",
+    "display(viz_map)\n",
+    "\n",
+    "# Create Submit Button & Set on_click\n",
+    "run_btn = widgets.Button(\n",
+    "    description='Fetch Extent',\n",
+    "    button_style='success',\n",
+    "    tooltip='Collect GeoEnrichment for Extent',\n",
+    "    layout=widgets.Layout(justify_content='center', margin='0px 0px 0px 10px')\n",
+    ")\n",
+    "run_btn.on_click(running)\n",
+    "\n",
+    "# Handle Widget Layout\n",
+    "params = widgets.HBox(\n",
+    "    [run_btn], \n",
+    "    layout=widgets.Layout(justify_content='center', margin='10px')\n",
+    ")\n",
+    "display(params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "version": 1,
+      "views": {
+       "grid_default": {},
+       "report_default": {}
+      }
+     }
+    }
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "extensions": {
+   "jupyter_dashboards": {
+    "activeView": "grid_default",
+    "version": 1,
+    "views": {
+     "grid_default": {
+      "cellMargin": 10,
+      "defaultCellHeight": 20,
+      "maxColumns": 12,
+      "name": "grid",
+      "type": "grid"
+     },
+     "report_default": {
+      "name": "report",
+      "type": "report"
+     }
+    }
+   }
+  },
+  "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": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}