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pandana_example.ipynb
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gistfile1.txt
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{
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{
"cell_type": "code",
"execution_count": 1,
"id": "ad4ccf6a-5da0-4a90-9828-7c04b5262d3c",
"metadata": {},
"outputs": [],
"source": [
"import pandana2"
]
},
{
"cell_type": "markdown",
"id": "325f6f4e-b59b-4d4f-9d3a-9dbdd09df64d",
"metadata": {},
"source": [
"## Fetch network\n",
"\n",
"pandana starts with a network (a DataFrame/GeoDataFrame of edges and a GeoDataFrame of nodes). The easiest place to get a network is from osmnx. The appropriate precision of network from osmnx is drive scale, but with all edges bidirectional and highways removed."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "5c0c1d8d-aacb-4a83-a1aa-172d85b9cb2d",
"metadata": {},
"outputs": [],
"source": [
"net = pandana2.PandanaNetwork.from_osmnx_local_streets_from_place_query(\"Oakland, CA\")"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "2dba1e0a-27dc-4843-a38f-80eadd4a2d61",
"metadata": {},
"outputs": [
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"execution_count": 25,
"metadata": {},
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],
"source": [
"net.edges.head(3)"
]
},
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"cell_type": "code",
"execution_count": 26,
"id": "cd2f3a7c-1746-470c-9266-7375b146f16e",
"metadata": {},
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" geometry\n",
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"metadata": {},
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"source": [
"net.nodes.head(3)"
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},
{
"cell_type": "markdown",
"id": "7e081c9b-c043-4a8f-90f5-8f1d82660346",
"metadata": {},
"source": [
"## Preprocess the network up to a maximum radius\n",
"This step runs a dijkstra on every input node up to the cutoff you pass to 'preprocess'. The output is a dataframe with the shortest path edge weight for every from-to node combination where the minimum path is less than the cutff."
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "2224a225-417b-4f91-aca2-79bba08a73d9",
"metadata": {},
"outputs": [
{
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" from to weight\n",
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"source": [
"# preprocess to 1500 meters (edge weights are set to length by default, but travel times are handy when available)\n",
"net.preprocess(1500)\n",
"net.min_weights_df.head(3)"
]
},
{
"cell_type": "markdown",
"id": "75064ba5-11ff-46d7-8fbb-47ee733ec778",
"metadata": {},
"source": [
"## Get some data to aggregate\n",
"Here we load in a few hundred home sales obversvatons from the area we are analyzing. We are going to aggregate the dollars per square foot metric."
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "8f404de5-8ca7-4d92-a409-044871ab4b63",
"metadata": {},
"outputs": [
{
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"text/plain": [
" $/SQUARE FEET geometry\n",
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"execution_count": 23,
"metadata": {},
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],
"source": [
"df = pd.read_csv(\"../tests/data/redfin_2025-04-04-13-35-42.csv\")\n",
"redfin_df = gpd.GeoDataFrame(\n",
" df[[\"$/SQUARE FEET\"]],\n",
" geometry=gpd.points_from_xy(df.LONGITUDE, df.LATITUDE),\n",
" crs=\"EPSG:4326\",\n",
")\n",
"redfin_df.head(3)"
]
},
{
"cell_type": "markdown",
"id": "af62d5d7-3746-4ffa-a082-2106d939d6be",
"metadata": {},
"source": [
"## Map each observation to it's nearest street intersection\n",
"This is a spatial join to the nodes DataFrame of the network"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "6f6d51d6-f04a-4341-aedf-36851cba2d55",
"metadata": {},
"outputs": [
{
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"text/plain": [
" $/SQUARE FEET geometry node_id\n",
"0 838.0 POINT (-122.21295 37.80510) 53041240\n",
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"metadata": {},
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],
"source": [
"redfin_df[\"node_id\"] = net.nearest_nodes(redfin_df)\n",
"redfin_df.head(3)"
]
},
{
"cell_type": "markdown",
"id": "4ed170f2-8859-4072-9f3f-7211d1855189",
"metadata": {},
"source": [
"## Do the aggregation\n",
"Just like that, we can do a weighted mean of all the observations where we apply a linear decay to the distance of each observation from each origin node so that nodes closer to the observed node are weighted higher. NaN values mean that there are no observations within the requested distance."
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "3305a9b9-2306-4d58-9f74-c29ca3d0d4a4",
"metadata": {},
"outputs": [
{
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"text/plain": [
" geometry average price/sqft observation count\n",
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"metadata": {},
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"source": [
"nodes = net.nodes.copy()\n",
"nodes[\"average price/sqft\"] = net.aggregate(\n",
" values=pd.Series(redfin_df[\"$/SQUARE FEET\"].values, index=redfin_df[\"node_id\"]),\n",
" decay_func=pandana2.LinearDecay(1500),\n",
" aggregation=\"mean\",\n",
")\n",
"nodes[\"observation count\"] = net.aggregate(\n",
" values=pd.Series(1, index=redfin_df[\"node_id\"]),\n",
" decay_func=pandana2.NoDecay(1500),\n",
" aggregation=\"sum\",\n",
")\n",
"nodes.head(3)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "072542ab-9071-4986-9b1f-1ba52bd0ba4c",
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import os\n",
"from mapboxgl.utils import create_color_stops, df_to_geojson\n",
"from mapboxgl.viz import CircleViz\n",
"import warnings\n",
"warnings.filterwarnings(\"ignore\")"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "bf066d9f-709d-47fa-8c47-cc86c2b60e17",
"metadata": {},
"outputs": [
{
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" href='https://api.tiles.mapbox.com/mapbox-gl-js/v1.0.0/mapbox-gl.css' \n",
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" }\n",
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"\n",
" /* legend header */\n",
" .legend .legend-header { border-radius: 3px 3px 0 0; background: white; }\n",
" .legend .legend-title {\n",
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"\n",
" /* legend items */\n",
" .legend-content {margin: 6px 12px 6px 12px; overflow: hidden; padding: 0; float: left; list-style: none; font-size: 0.8em;}\n",
" .legend.vertical .legend-item {white-space: nowrap;}\n",
" .legend-value {display: inline-block; line-height: 18px; vertical-align: top;}\n",
" .legend.horizontal ul.legend-content li.legend-item .legend-value,\n",
" .legend.horizontal ul.legend-content li.legend-item {display: inline-block; float: left; width: 30px; margin-bottom: 0; text-align: center; min-height: 30px;}\n",
"\n",
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" .legend-key {display: inline-block; height: 10px;}\n",
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" .legend-key.rounded-square {border-radius: 20%;}\n",
" .legend.vertical .legend-key {width: 10px; margin-right: 5px; margin-left: 1px;}\n",
" .legend.horizontal .legend-key {width: 30px; margin-right: 0; margin-top: 1px; float: left;}\n",
" .legend.horizontal .legend-key.square, .legend.horizontal .legend-key.rounded-square, .legend.horizontal .legend-key.circle {margin-left: 10px; width: 10px;}\n",
" .legend.horizontal .legend-key.line {margin-left: 5px;}\n",
" .legend.horizontal .legend-key.line, .legend.vertical .legend-key.line {border-radius: 10%; width: 20px; height: 3px; margin-bottom: 2px;}\n",
"\n",
" /* gradient bar alignment */\n",
" .gradient-bar {margin: 6px 12px 6px 12px;}\n",
" .legend.horizontal .gradient-bar {width: 88%; height: 10px;}\n",
" .legend.vertical .gradient-bar {width: 10px; min-height: 50px; position: absolute; bottom: 4px;}\n",
"\n",
" /* contiguous vertical bars (discrete) */\n",
" .legend.vertical.contig .legend-key {height: 15px; width: 10px;}\n",
" .legend.vertical.contig li.legend-item {height: 15px;}\n",
" .legend.vertical.contig {padding-bottom: 6px;}\n",
"\n",
" /* vertical radius legend */\n",
" .legend.horizontal.legend-variable-radius ul.legend-content li.legend-item .legend-value,\n",
" .legend.horizontal.legend-variable-radius ul.legend-content li.legend-item {width: 30px; min-height: 20px;}\n",
"\n",
" /* scale annotation */\n",
" .mapboxgl-ctrl.mapboxgl-ctrl-scale { border-color: #6e6e6e; \n",
" background-color: white; \n",
" color: #131516; }\n",
"</style>\n",
"\n",
"\n",
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"</style>\n",
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"</head>\n",
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"\n",
"<div id='map' class='map'></div>\n",
"\n",
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"\n",
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"\n",
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" // create legend\n",
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" legendContainer = document.getElementsByClassName('mapboxgl-ctrl-bottom-right')[0];\n",
"\n",
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" legendHeader = document.createElement('div');\n",
" mytitle.textContent = title;\n",
" mytitle.className = 'legend-title'\n",
" legendHeader.className = 'legend-header'\n",
" legendContent.className = 'legend-content'\n",
" legendHeader.appendChild(mytitle);\n",
" legend.appendChild(legendHeader);\n",
" legend.appendChild(legendContent);\n",
" if (false === true) {\n",
" var gradientText = 'linear-gradient(to right, ',\n",
" gradient = document.createElement('div');\n",
" gradient.className = 'gradient-bar';\n",
" legend.appendChild(gradient);\n",
" }\n",
" // calculate a legend entries on a Mapbox GL Style Spec property function stops array\n",
" for (p = 0; p < myColorStops.length; p++) {\n",
" if (!!document.getElementById('legend-color-points-value-' + p)) {\n",
" // update the legend if it already exists\n",
" document.getElementById('legend-color-points-value-' + p).textContent = myColorStops[p][0];\n",
" document.getElementById('legend-color-points-id-' + p).style.backgroundColor = myColorStops[p][1];\n",
" }\n",
" else {\n",
" // create the legend if it doesn't yet exist\n",
" var item = document.createElement('li');\n",
" item.className = 'legend-item';\n",
" var key = document.createElement('span');\n",
" key.className = 'legend-key circle';\n",
" key.id = 'legend-color-points-id-' + p;\n",
" key.style.backgroundColor = myColorStops[p][1];\n",
" var value = document.createElement('span');\n",
" value.className = 'legend-value';\n",
" value.id = 'legend-color-points-value-' + p;\n",
" item.appendChild(key);\n",
" item.appendChild(value);\n",
" legendContent.appendChild(item);\n",
" \n",
" data = document.getElementById('legend-color-points-value-' + p)\n",
" // round number values in legend if precision defined\n",
" if ((typeof(myColorStops[p][0]) == 'number') && (typeof(null) == 'number')) {\n",
" data.textContent = myColorStops[p][0].toFixed(null);\n",
" }\n",
" else {\n",
" data.textContent = myColorStops[p][0];\n",
" }\n",
" // add color stop to gradient list\n",
" if (false === true) {\n",
" if (p < myColorStops.length - 1) {\n",
" gradientText = gradientText + myColorStops[p][1] + ', ';\n",
" }\n",
" else {\n",
" gradientText = gradientText + myColorStops[p][1] + ')';\n",
" }\n",
" if ('vertical' === 'vertical') {\n",
" gradientText = gradientText.replace('to right', 'to bottom');\n",
" }\n",
" }\n",
" }\n",
" }\n",
" if (false === true) {\n",
" // convert to gradient scale appearance\n",
" gradient.style.background = gradientText;\n",
" // hide legend keys generated above\n",
" var keys = document.getElementsByClassName('legend-key');\n",
" for (var i=0; i < keys.length; i++) {\n",
" keys[i].style.visibility = 'hidden';\n",
" }\n",
" if ('vertical' === 'vertical') {\n",
" gradient.style.height = (legendContent.offsetHeight - 6) + 'px';\n",
" }\n",
" }\n",
" // add class for styling bordered legend keys\n",
" if (true) {\n",
" var keys = document.getElementsByClassName('legend-key');\n",
" for (var i=0; i < keys.length; i++) {\n",
" if (keys[i]) {\n",
" keys[i].classList.add('bordered');\n",
" }\n",
" }\n",
" var gradientBars = document.getElementsByClassName('gradient-bar');\n",
" for (var i=0; i < keys.length; i++) {\n",
" if (gradientBars[i]) {\n",
" gradientBars[i].classList.add('bordered');\n",
" }\n",
" }\n",
" }\n",
" // update right-margin for compact Mapbox attribution based on calculated legend width\n",
" updateAttribMargin(legend);\n",
" updateLegendMargin(legend);\n",
"}\n",
"\n",
"\n",
"function calcRadiusLegend(myRadiusStops, title, color) {\n",
"\n",
" // maximum legend item height\n",
" var maxLegendItemHeight = 2 * myRadiusStops[myRadiusStops.length - 1][1];\n",
"\n",
" // create legend\n",
" var legend = document.createElement('div');\n",
" legend.className = 'legend vertical legend-variable-radius';\n",
"\n",
" legend.id = 'legend-1';\n",
" document.body.appendChild(legend);\n",
"\n",
" // add legend header and content elements\n",
" var mytitle = document.createElement('div'),\n",
" legendContent = document.createElement('ul');\n",
" legendHeader = document.createElement('div');\n",
" mytitle.textContent = title;\n",
" mytitle.className = 'legend-title'\n",
" legendHeader.className = 'legend-header'\n",
" legendContent.className = 'legend-content'\n",
" legendHeader.appendChild(mytitle);\n",
" legend.appendChild(legendHeader);\n",
" legend.appendChild(legendContent);\n",
"\n",
" // calculate a legend entries on a Mapbox GL Style Spec property function stops array\n",
" for (p = 0; p < myRadiusStops.length; p++) {\n",
" if (!!document.getElementById('legend-radius-points-value-' + p)) {\n",
" //update the legend if it already exists\n",
" document.getElementById('legend-radius-points-value-' + p).textContent = myRadiusStops[p][0];\n",
" document.getElementById('legend-radius-points-id-' + p).style.backgroundColor = color;\n",
" }\n",
" else {\n",
" // create the legend if it doesn't yet exist\n",
" var item = document.createElement('li');\n",
" item.className = 'legend-item';\n",
" item.height = '' + maxLegendItemHeight + 'px';\n",
"\n",
" var key = document.createElement('span');\n",
" key.className = 'legend-key circle';\n",
" key.id = 'legend-radius-points-id-' + p;\n",
" key.style.backgroundColor = color; \n",
"\n",
" key.style.width = '' + myRadiusStops[p][1] * 2 + 'px';\n",
" key.style.height = '' + myRadiusStops[p][1] * 2 + 'px';\n",
"\n",
" keyVerticalMargin = (maxLegendItemHeight - myRadiusStops[p][1] * 2) * 0.5;\n",
" key.style.marginTop = '' + keyVerticalMargin + 'px';\n",
" key.style.marginBottom = '' + keyVerticalMargin + 'px';\n",
"\n",
" var value = document.createElement('span');\n",
" value.className = 'legend-value';\n",
" value.id = 'legend-radius-points-value-' + p;\n",
"\n",
" item.appendChild(key);\n",
" item.appendChild(value);\n",
" legendContent.appendChild(item);\n",
" \n",
" data = document.getElementById('legend-radius-points-value-' + p)\n",
"\n",
" // round number values in legend if precision defined\n",
" if ((typeof(myRadiusStops[p][0]) == 'number') && (typeof(null) == 'number')) {\n",
" data.textContent = myRadiusStops[p][0].toFixed(null);\n",
" }\n",
" else {\n",
" data.textContent = myRadiusStops[p][0];\n",
" }\n",
" }\n",
" }\n",
"\n",
" // add class for styling bordered legend keys\n",
" if (true) {\n",
" var keys = document.getElementsByClassName('legend-key');\n",
" for (var i=0; i < keys.length; i++) {\n",
" if (keys[i]) {\n",
" keys[i].classList.add('bordered');\n",
" }\n",
" }\n",
" }\n",
"\n",
" // update right-margin for compact Mapbox attribution based on calculated legend width\n",
" updateAttribMargin(legend);\n",
" updateLegendMargin(legend);\n",
"\n",
"}\n",
"\n",
"\n",
"function updateAttribMargin(legend) {\n",
"\n",
" // default margin is based on calculated legend width\n",
" var attribMargin = legend.offsetWidth + 15;\n",
" \n",
" // if horizontal legend layout (multiple legends are stacked vertically)\n",
" if ('vertical' === 'horizontal') {\n",
" document.getElementsByClassName('mapboxgl-ctrl-attrib')[0].style.marginRight = (attribMargin).toString() + 'px';\n",
" }\n",
" // vertical legend layout means multiple legends are side-by-side\n",
" else if ('vertical' === 'vertical') {\n",
" var currentMargin = Number(document.getElementsByClassName('mapboxgl-ctrl-attrib')[0].style.marginRight.replace('px', ''));\n",
" document.getElementsByClassName('mapboxgl-ctrl-attrib')[0].style.marginRight = (attribMargin + currentMargin).toString() + 'px';\n",
" }\n",
"}\n",
"\n",
"\n",
"function updateLegendMargin(legend) {\n",
"\n",
" var verticalLegends = document.getElementsByClassName('legend vertical'),\n",
" horizontalLegends = document.getElementsByClassName('legend horizontal');\n",
"\n",
" if (verticalLegends.length > 1) {\n",
" for (i = 1; i < verticalLegends.length; i++) {\n",
" verticalLegends[i].style.marginRight = (legend.offsetWidth - 5).toString() + 'px';\n",
" var legend = verticalLegends[i];\n",
" }\n",
" }\n",
" else if (horizontalLegends.length > 1) {\n",
" for (i = 1; i < horizontalLegends.length; i++) {\n",
" horizontalLegends[i].style.marginBottom = (legend.offsetHeight + 15).toString() + 'px';\n",
" var legend = horizontalLegends[i];\n",
" }\n",
" }\n",
"}\n",
"\n",
"\n",
"function generateInterpolateExpression(propertyValue, stops) {\n",
" var expression;\n",
" if (propertyValue == 'zoom') {\n",
" expression = ['interpolate', ['exponential', 1.2], ['zoom']]\n",
" }\n",
" else if (propertyValue == 'heatmap-density') {\n",
" expression = ['interpolate', ['linear'], ['heatmap-density']]\n",
" }\n",
" else {\n",
" expression = ['interpolate', ['linear'], ['get', propertyValue]]\n",
" }\n",
"\n",
" for (var i=0; i<stops.length; i++) {\n",
" expression.push(stops[i][0], stops[i][1])\n",
" }\n",
" return expression\n",
"}\n",
"\n",
"\n",
"function generateMatchExpression(propertyValue, stops, defaultValue) {\n",
" var expression;\n",
" expression = ['match', ['get', propertyValue]]\n",
" for (var i=0; i<stops.length; i++) {\n",
" expression.push(stops[i][0], stops[i][1])\n",
" }\n",
" expression.push(defaultValue)\n",
" \n",
" return expression\n",
"}\n",
"\n",
"\n",
"function generatePropertyExpression(expressionType, propertyValue, stops, defaultValue) {\n",
" var expression;\n",
" if (expressionType == 'match') {\n",
" expression = generateMatchExpression(propertyValue, stops, defaultValue)\n",
" }\n",
" else if (propertyValue == 'identity') {\n",
" expression = ['get', propertyValue]\n",
" }\n",
" else {\n",
" expression = generateInterpolateExpression(propertyValue, stops)\n",
" }\n",
"\n",
" return expression\n",
"}\n",
"\n",
"</script>\n",
"\n",
"<!-- main map creation code, extended by mapboxgl/templates/circle.html -->\n",
"<script type='text/javascript'>\n",
"\n",
" mapboxgl.accessToken = 'pk.eyJ1IjoiZnNjb3R0Zm90aSIsImEiOiJLVHVqNHlNIn0.T0Ca4SWbbTc1p2jogYLQyA';\n",
"\n",
" var transformRequest = function(url, resourceType) {\n",
" const isMapboxRequest = url.slice(8, 22) === 'api.mapbox.com' ||\n",
" url.slice(10, 26) === 'tiles.mapbox.com';\n",
" \n",
" return {\n",
" url: isMapboxRequest ? url.replace('?', '?pluginName=PythonMapboxgl&') : url\n",
" }\n",
" };\n",
"\n",
" var map = new mapboxgl.Map({\n",
" container: 'map',\n",
" attributionControl: false,\n",
" style: 'mapbox://styles/mapbox/light-v10?optimize=true',\n",
" center: [-122.2712, 37.8044],\n",
" zoom: 12,\n",
" pitch: 0,\n",
" bearing: 0,\n",
" scrollZoom: true,\n",
" touchZoom: true,\n",
" doubleClickZoom: true,\n",
" boxZoom: true,\n",
" preserveDrawingBuffer: false,\n",
" transformRequest: transformRequest\n",
" });\n",
"\n",
" \n",
" \n",
" map.addControl(new mapboxgl.AttributionControl({ compact: true }));\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" map.addControl(new mapboxgl.NavigationControl());\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" \n",
" \n",
" calcColorLegend([[0, '#edf8fb'], [200, '#ccece6'], [400, '#99d8c9'], [600, '#66c2a4'], [800, '#41ae76'], [1000, '#238b45'], [1200, '#005824']] , 'average price/sqft');\n",
" \n",
" \n",
" \n",
"\n",
"\n",
" \n",
" \n",
" \n",
"\n",
" \n",
"\n",
" \n",
"\n",
" map.on('style.load', function() {\n",
" \n",
" \n",
"\n",
" map.addSource('data', {\n",
" 'type': 'geojson',\n",
" 'data': {'type': 'FeatureCollection', 'features': [{'id': '0', 'type': 'Feature', 'properties': {'osmid': 35718715, 'average price/sqft': null, 'observation count': null}, 'geometry': {'type': 'Point', 'coordinates': [-122.2433676, 37.8609763]}}, {'id': '1', 'type': 'Feature', 'properties': {'osmid': 35718778, 'average price/sqft': 696.0, 'observation count': 4.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2308297, 37.8664576]}}, {'id': '2', 'type': 'Feature', 'properties': {'osmid': 35718864, 'average price/sqft': 604.0, 'observation count': 1.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2178621, 37.8683582]}}, {'id': '3', 'type': 'Feature', 'properties': {'osmid': 35719057, 'average price/sqft': null, 'observation count': null}, 'geometry': {'type': 'Point', 'coordinates': [-122.2440549, 37.860731]}}, {'id': '4', 'type': 'Feature', 'properties': {'osmid': 35719067, 'average price/sqft': 586.0, 'observation count': 3.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.22193, 37.864197]}}, {'id': '5', 'type': 'Feature', 'properties': {'osmid': 52981368, 'average price/sqft': 590.0, 'observation count': 3.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1568802, 37.7715208]}}, {'id': '6', 'type': 'Feature', 'properties': {'osmid': 52981390, 'average price/sqft': 563.0, 'observation count': 3.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2763173, 37.810447]}}, {'id': '7', 'type': 'Feature', 'properties': {'osmid': 52982537, 'average price/sqft': 667.0, 'observation count': 18.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2453611, 37.8089468]}}, {'id': '8', 'type': 'Feature', 'properties': {'osmid': 52982608, 'average price/sqft': 665.0, 'observation count': 24.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1971282, 37.7878791]}}, {'id': '9', 'type': 'Feature', 'properties': {'osmid': 52982610, 'average price/sqft': 672.0, 'observation count': 18.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1962119, 37.787559]}}, {'id': '10', 'type': 'Feature', 'properties': {'osmid': 52982613, 'average price/sqft': 632.0, 'observation count': 27.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1962492, 37.7866019]}}, {'id': '11', 'type': 'Feature', 'properties': {'osmid': 52982915, 'average price/sqft': 531.0, 'observation count': 1.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2782275, 37.8002212]}}, {'id': '12', 'type': 'Feature', 'properties': {'osmid': 52984162, 'average price/sqft': 437.0, 'observation count': 2.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2072841, 37.7542358]}}, {'id': '13', 'type': 'Feature', 'properties': {'osmid': 52984788, 'average price/sqft': 539.0, 'observation count': 1.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1297017, 37.7678518]}}, {'id': '14', 'type': 'Feature', 'properties': {'osmid': 52984790, 'average price/sqft': 539.0, 'observation count': 1.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.129305, 37.7679392]}}, {'id': '15', 'type': 'Feature', 'properties': {'osmid': 52984792, 'average price/sqft': 539.0, 'observation count': 1.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1287718, 37.7681255]}}, {'id': '16', 'type': 'Feature', 'properties': {'osmid': 52986119, 'average price/sqft': null, 'observation count': null}, 'geometry': {'type': 'Point', 'coordinates': [-122.2687462, 37.7964012]}}, {'id': '17', 'type': 'Feature', 'properties': {'osmid': 52986125, 'average price/sqft': null, 'observation count': null}, 'geometry': {'type': 'Point', 'coordinates': [-122.2691037, 37.7958186]}}, {'id': '18', 'type': 'Feature', 'properties': {'osmid': 52986589, 'average price/sqft': 531.0, 'observation count': 1.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.274611, 37.7987682]}}, {'id': '19', 'type': 'Feature', 'properties': {'osmid': 52986620, 'average price/sqft': 641.0, 'observation count': 21.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1875697, 37.7845556]}}, {'id': '20', 'type': 'Feature', 'properties': {'osmid': 52986623, 'average price/sqft': 652.0, 'observation count': 19.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1865803, 37.7846269]}}, {'id': '21', 'type': 'Feature', 'properties': {'osmid': 52986770, 'average price/sqft': 523.0, 'observation count': 10.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2548188, 37.8193258]}}, {'id': '22', 'type': 'Feature', 'properties': {'osmid': 52986774, 'average price/sqft': 506.0, 'observation count': 9.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2541806, 37.8186542]}}, {'id': '23', 'type': 'Feature', 'properties': {'osmid': 52987422, 'average price/sqft': null, 'observation count': null}, 'geometry': {'type': 'Point', 'coordinates': [-122.2236894, 37.8509167]}}, {'id': '24', 'type': 'Feature', 'properties': {'osmid': 52987426, 'average price/sqft': null, 'observation count': null}, 'geometry': {'type': 'Point', 'coordinates': [-122.2224773, 37.8505365]}}, {'id': '25', 'type': 'Feature', 'properties': {'osmid': 52987947, 'average price/sqft': 553.0, 'observation count': 2.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2290108, 37.8526874]}}, {'id': '26', 'type': 'Feature', 'properties': {'osmid': 52990165, 'average price/sqft': 568.0, 'observation count': 3.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2771625, 37.8091649]}}, {'id': '27', 'type': 'Feature', 'properties': {'osmid': 52990174, 'average price/sqft': 282.0, 'observation count': 1.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2384605, 37.779715]}}, {'id': '28', 'type': 'Feature', 'properties': {'osmid': 52990846, 'average price/sqft': 838.0, 'observation count': 32.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2590644, 37.8410402]}}, {'id': '29', 'type': 'Feature', 'properties': {'osmid': 52991609, 'average price/sqft': 752.0, 'observation count': 10.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2228151, 37.8395804]}}, {'id': '30', 'type': 'Feature', 'properties': {'osmid': 52991611, 'average price/sqft': 751.0, 'observation count': 10.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2240399, 37.8413762]}}, {'id': '31', 'type': 'Feature', 'properties': {'osmid': 52991764, 'average price/sqft': 503.0, 'observation count': 8.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2698535, 37.8241729]}}, {'id': '32', 'type': 'Feature', 'properties': {'osmid': 52993547, 'average price/sqft': 709.0, 'observation count': 20.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2352616, 37.8115098]}}, {'id': '33', 'type': 'Feature', 'properties': {'osmid': 52994102, 'average price/sqft': 582.0, 'observation count': 3.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1547173, 37.7709116]}}, {'id': '34', 'type': 'Feature', 'properties': {'osmid': 52994382, 'average price/sqft': 717.0, 'observation count': 34.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2626432, 37.8418523]}}, {'id': '35', 'type': 'Feature', 'properties': {'osmid': 52995152, 'average price/sqft': 528.0, 'observation count': 9.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.2696235, 37.8250886]}}, {'id': '36', 'type': 'Feature', 'properties': {'osmid': 52995245, 'average price/sqft': null, 'observation count': null}, 'geometry': {'type': 'Point', 'coordinates': [-122.1483788, 37.772072]}}, {'id': '37', 'type': 'Feature', 'properties': {'osmid': 52995246, 'average price/sqft': 575.0, 'observation count': 2.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1476245, 37.7713434]}}, {'id': '38', 'type': 'Feature', 'properties': {'osmid': 52995250, 'average price/sqft': null, 'observation count': null}, 'geometry': {'type': 'Point', 'coordinates': [-122.147753, 37.7702998]}}, {'id': '39', 'type': 'Feature', 'properties': {'osmid': 52996031, 'average price/sqft': 539.0, 'observation count': 1.0}, 'geometry': {'type': 'Point', 'coordinates': [-122.1282884, 37.764483]}}, {'id': '40', 'type': 'Feature', 'properties': 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