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Merge pull request #295 from mpayson/mp-devlab-findplaces-devsite
find places devlab notebook. Thanks @mpayson
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‎labs/find_places.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Find Places ArcGIS DevLab\n",
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"This is a completed solution for the [Find Places](https://developers.arcgis.com/labs/python/find-places/) ArcGIS DevLab. [ArcGIS DevLabs](https://developers.arcgis.com/labs/) are short, introductory tutorials to developing with the [ArcGIS platform](https://developers.arcgis.com/labs/what-is-arcgis/)."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**1.** Model a GIS portal and import the geocode function from the ArcGIS API for Python"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from arcgis.gis import GIS\n",
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"from arcgis.geocoding import geocode"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**2.** Create an anonymous connection to ArcGIS Online. Since the results are not stored, you do not need credentials to call the geocoding service"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"gis = GIS()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**3.** Pass the relevant parameters into the geocode function and get the results"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"geocode_fs = geocode(address=None,\n",
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" location=[-118.71511, 34.09042],\n",
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" category=\"Coffee shop\",\n",
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" out_fields=\"Place_addr, PlaceName\",\n",
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" max_locations=25,\n",
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" as_featureset=True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**4.** Convert the results to a dataframe and show the first two locations"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>OBJECTID</th>\n",
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" <th>PlaceName</th>\n",
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" <th>Place_addr</th>\n",
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" <th>SHAPE</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>1</td>\n",
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" <td>Starbucks</td>\n",
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" <td>26531 Agoura Rd, Calabasas, California, 91302</td>\n",
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" <td>{'x': -118.70030999999994, 'y': 34.14383000000...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>2</td>\n",
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" <td>Starbucks</td>\n",
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" <td>26521 Agoura Rd, Calabasas, California, 91302</td>\n",
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" <td>{'x': -118.70023995051699, 'y': 34.14425002668...</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" OBJECTID PlaceName Place_addr \\\n",
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"0 1 Starbucks 26531 Agoura Rd, Calabasas, California, 91302 \n",
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"1 2 Starbucks 26521 Agoura Rd, Calabasas, California, 91302 \n",
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"\n",
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" SHAPE \n",
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"0 {'x': -118.70030999999994, 'y': 34.14383000000... \n",
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"1 {'x': -118.70023995051699, 'y': 34.14425002668... "
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"g_df = geocode_fs.df\n",
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"g_df.head(2)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**5.** Create a map to display the results"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "35aa51740ad646aca0cba4233d028205",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"MapView(basemaps=['dark-gray', 'dark-gray-vector', 'gray', 'gray-vector', 'hybrid', 'national-geographic', 'oc…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"g_map = gis.map([34.09042, -118.71511], zoomlevel=11)\n",
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"g_map"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**6.** Once the map has loaded, draw the results"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"g_map.draw(geocode_fs)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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