D3 Examples - Folium Choropleth Default

Folium Choropleth Default

A Leaflet.js map created with Folium and the default D3 threshold scale. See the Gist for the python code to generate the dataframe. The map was generated with the following Python code:

map = folium.Map(location=[48, -102], zoom_start=3) map.geo_json(geo_path=state_geo, data=state_data, columns=['State', 'Unemployment'], key_on='feature.id', fill_color='YlGn', fill_opacity=0.7, line_opacity=0.2, legend_name='Unemployment Rate (%)') map.create_map(path='us_states.html')

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<!DOCTYPE html>
<head>
   <link rel="stylesheet" href="https://cdn.leafletjs.com/leaflet-0.5/leaflet.css" />
   <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.5/leaflet.min.js"></script>
   <script src="https://d3js.org/d3.v3.min.js" charset="utf-8"></script>
   <script src="https://d3js.org/queue.v1.min.js"></script>
​
​
​
​
<style>
​
.legend {
    padding: 0px 0px;
    font: 10px sans-serif;
    background: white;
    background: rgba(255,255,255,0.8);
    box-shadow: 0 0 15px rgba(0,0,0,0.2);
    border-radius: 5px;
}
​
.key path {
  display: none;
}
​
</style>
</head>
<body>
​
        <div id="map" style="width: 960px; height: 500px"></div>
​
<script>
​
queue()
    .defer(d3.json, 'data.json')
    .defer(d3.json, 'us-states.json')
    .await(makeMap)
​
function makeMap(error, data_1,gjson_1) {
​
​
​
​
​
    function matchKey(datapoint, key_variable){
        return(parseFloat(key_variable[0][datapoint]));
    };
​
​
    var color = d3.scale.threshold()
              .domain([3.0, 7.0, 8.0, 9.0, 9.0])
              .range(['#FFFFCC', '#D9F0A3', '#ADDD8E', '#78C679', '#41AB5D', '#238443']);
​
​
    var map = L.map('map').setView([48, -102], 3);
​
    L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {
        maxZoom: 18,
        attribution: 'Map data (c) <a href="https://openstreetmap.org">OpenStreetMap</a> contributors'
    }).addTo(map);
​
​
​
​
​
​
​
​
    function style_1(feature) {
    return {
        fillColor: color(matchKey(feature.id, data_1)),
        weight: 1,
        opacity: 0.2,
        color: 'black',
        fillOpacity: 0.7
    };
}
​
​
​
    gJson_layer_1 = L.geoJson(gjson_1, {style: style_1}).addTo(map)
​
​
​
        var legend = L.control({position: 'topright'});
​
    legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};
​
    legend.addTo(map);
​
    var x = d3.scale.linear()
    .domain([0, 9])
    .range([0, 400]);
​
    var xAxis = d3.svg.axis()
        .scale(x)
        .orient("top")
        .tickSize(1)
        .tickValues(color.domain())
​
    var svg = d3.select(".legend.leaflet-control").append("svg")
        .attr("id", 'legend')
        .attr("width", 450)
        .attr("height", 40);
​
    var g = svg.append("g")
        .attr("class", "key")
        .attr("transform", "translate(25,16)");
​
    g.selectAll("rect")
        .data(color.range().map(function(d, i) {
          return {
            x0: i ? x(color.domain()[i - 1]) : x.range()[0],
            x1: i < color.domain().length ? x(color.domain()[i]) : x.range()[1],
            z: d
          };
        }))
      .enter().append("rect")
        .attr("height", 10)
        .attr("x", function(d) { return d.x0; })
        .attr("width", function(d) { return d.x1 - d.x0; })
        .style("fill", function(d) { return d.z; });
​
    g.call(xAxis).append("text")
        .attr("class", "caption")
        .attr("y", 21)
        .text('Unemployment Rate (%)');
​
​
};
​
</script>
​
</body>
    