Palette
Documentation
This demo shows how to color specific map areas using a palette. In the VectorMap widget, a palette defines a range of colors that are used to paint areas. This range is divided into segments using the value assigned to the colorGroups option. Each segment contributes a color into an array of colors.
The map in this demo represents the top 40 countries by population. Map areas are colored according to the percentage of population.
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If you have technical questions, please create a support ticket in the DevExpress Support Center.
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$(function(){
$("#vector-map").dxVectorMap({
bounds: [-180, 85, 180, -60],
layers: {
name: "areas",
dataSource: DevExpress.viz.map.sources.world,
palette: "Violet",
colorGroups: [0, 0.5, 0.8, 1, 2, 3, 100],
colorGroupingField: "population",
customize: function (elements) {
$.each(elements, function (_, element) {
element.attribute("population", populations[element.attribute("name")]);
});
}
},
legends: [{
source: { layer: "areas", grouping: "color" },
customizeText: function (arg) {
var text;
if (arg.index === 0) {
text = "< 0.5%";
}
else if (arg.index === 5) {
text = "> 3%";
}
else {
text = arg.start + "% to " + arg.end + "%";
}
return text;
}
}],
tooltip: {
enabled: true,
customizeTooltip: function(arg) {
if (arg.attribute("population")) {
return { text: arg.attribute("name") + ": " + arg.attribute("population") + "% of world population" };
}
}
}
});
});
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<title>DevExtreme Demo</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0" />
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.4.1/jquery.min.js"></script>
<script>window.jQuery || document.write(decodeURIComponent('%3Cscript src="js/jquery.min.js"%3E%3C/script%3E'))</script>
<link rel="stylesheet" type="text/css" href="https://cdn3.devexpress.com/jslib/19.1.5/css/dx.common.css" />
<link rel="stylesheet" type="text/css" href="https://cdn3.devexpress.com/jslib/19.1.5/css/dx.light.css" />
<script src="https://cdn3.devexpress.com/jslib/19.1.5/js/dx.all.js"></script>
<script src="https://cdn3.devexpress.com/jslib/19.1.5/js/vectormap-data/world.js"></script>
<script src="https://cdn3.devexpress.com/jslib/19.1.5/js/vectormap-data/africa.js"></script>
<script src="https://cdn3.devexpress.com/jslib/19.1.5/js/vectormap-data/canada.js"></script>
<script src="https://cdn3.devexpress.com/jslib/19.1.5/js/vectormap-data/eurasia.js"></script>
<script src="https://cdn3.devexpress.com/jslib/19.1.5/js/vectormap-data/europe.js"></script>
<script src="https://cdn3.devexpress.com/jslib/19.1.5/js/vectormap-data/usa.js"></script>
<script src="data.js"></script>
<link rel="stylesheet" type="text/css" href="styles.css" />
<script src="index.js"></script>
</head>
<body class="dx-viewport">
<div class="demo-container">
<div id="vector-map"></div>
</div>
</body>
</html>
#vector-map {
height: 440px;
width: 100%;
display: block;
}
var populations = {
"China": 19,
"India": 17.4,
"United States": 4.44,
"Indonesia": 3.45,
"Brazil": 2.83,
"Pakistan": 2.62,
"Nigeria": 2.42,
"Bangladesh": 2.18,
"Russia": 2.04,
"Japan": 1.77,
"Mexico": 1.67,
"Philippines": 1.39,
"Vietnam": 1.25,
"Ethiopia": 1.23,
"Egypt": 1.21,
"Germany": 1.13,
"Iran": 1.08,
"Turkey": 1.07,
"Congo (Kinshasa)": 0.94,
"France": 0.92,
"Thailand": 0.9,
"United Kingdom": 0.89,
"Italy": 0.85,
"Burma": 0.84,
"South Africa": 0.74,
"S. Korea": 0.7,
"Colombia": 0.66,
"Spain": 0.65,
"Tanzania": 0.63,
"Kenya": 0.62,
"Ukraine": 0.6,
"Argentina": 0.59,
"Algeria": 0.54,
"Poland": 0.54,
"Sudan": 0.52,
"Canada": 0.49,
"Uganda": 0.49,
"Iraq": 0.47,
"Morocco": 0.46,
"Uzbekistan": 0.43
};