Available in the Full Version
Data Chart - Export image
This sample demonstrates how to export the chart as a JPG image by using exportImage method.
This sample uses CTP (Community Technical Preview) features. The API and behavior may change when these features are released with full support.
Population data from:
U.S. Census Bureau
U.S. Census Bureau
This sample is designed for a larger screen size.
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<!DOCTYPE html>
<html>
<head>
<title>JSON Binding</title>
<!-- Ignite UI for jQuery Required Combined CSS Files -->
<link href="http://cdn-na.infragistics.com/igniteui/2023.2/latest/css/themes/infragistics/infragistics.theme.css" rel="stylesheet" />
<link href="http://cdn-na.infragistics.com/igniteui/2023.2/latest/css/structure/infragistics.css" rel="stylesheet" />
<!--CSS file specific for chart styling -->
<link href="http://cdn-na.infragistics.com/igniteui/2023.2/latest/css/structure/modules/infragistics.ui.chart.css" rel="stylesheet" />
<script src="http://ajax.aspnetcdn.com/ajax/modernizr/modernizr-2.8.3.js"></script>
<script src="http://code.jquery.com/jquery-1.11.3.min.js"></script>
<script src="http://code.jquery.com/ui/1.11.1/jquery-ui.min.js"></script>
<!-- Ignite UI for jQuery Required Combined JavaScript Files -->
<script src="http://cdn-na.infragistics.com/igniteui/2023.2/latest/js/infragistics.core.js"></script>
<script src="http://cdn-na.infragistics.com/igniteui/2023.2/latest/js/infragistics.dv.js"></script>
<!-- External files for exporting -->
<script src="/js/external/FileSaver.js"></script>
<style>
</style>
</head>
<body>
<div class="USCensus-attribution">
Population data from:<br />
<a href="http://www.census.gov/" target="_blank">U.S. Census Bureau</a>
</div>
<div style="width: 80%; min-width: 210px;">
<div id="chart"></div>
<br />
<input id="exportToPdfBtn" onclick="ExportImage()" value="Export as image" type="button" />
</div>
<script>
$(function () {
var data = [
{ "CountryName": "China", "Pop1995": 1216, "Pop2005": 1297, "Pop2015": 1361, "Pop2025": 1394 },
{ "CountryName": "India", "Pop1995": 920, "Pop2005": 1090, "Pop2015": 1251, "Pop2025": 1396 },
{ "CountryName": "United States", "Pop1995": 266, "Pop2005": 295, "Pop2015": 322, "Pop2025": 351 },
{ "CountryName": "Indonesia", "Pop1995": 197, "Pop2005": 229, "Pop2015": 256, "Pop2025": 277 },
{ "CountryName": "Brazil", "Pop1995": 161, "Pop2005": 186, "Pop2015": 204, "Pop2025": 218 }
];
$("#chart").igDataChart({
width: "100%",
height: "400px",
title: "Population per Country",
subtitle: "Five largest projected populations for 2015",
plotAreaBackground: "white",
dataSource: data,
axes: [
{
name: "NameAxis",
type: "categoryX",
title: "Country",
label: "CountryName"
},
{
name: "PopulationAxis",
type: "numericY",
minimumValue: 0,
title: "Millions of People",
}
],
series: [
{
name: "2015Population",
type: "column",
isHighlightingEnabled: true,
isTransitionInEnabled: true,
xAxis: "NameAxis",
yAxis: "PopulationAxis",
valueMemberPath: "Pop2015",
isDropShadowEnabled: true,
shadowBlur: 40,
shadowColor: "lightgray",
shadowOffsetX: 7,
shadowOffsetY: -5,
brush: "#ff8e3e"
}
]
});
});
function ExportImage() {
var img = $('#chart').igDataChart("exportImage", $('#chart').width(), $('#chart').height());
// atob to base64_decode the data-URI
var image_data = atob(img.src.split(',')[1]);
// Use typed arrays to convert the binary data to a Blob
var arraybuffer = new ArrayBuffer(image_data.length);
var view = new Uint8Array(arraybuffer);
for (var i=0; i<image_data.length; i++) {
view[i] = image_data.charCodeAt(i) & 0xff;
}
var blob = new Blob([arraybuffer], {type: 'image/jpeg'});
saveAs(blob, "img.jpg");
};
</script>
</body>
</html>