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168 lines
3.5 KiB
HTML
168 lines
3.5 KiB
HTML
<!DOCTYPE html>
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<meta charset="utf-8">
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<link href="../src/nv.d3.css" rel="stylesheet" type="text/css">
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<style>
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body {
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overflow-y:scroll;
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}
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text {
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font: 12px sans-serif;
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}
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svg {
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display: block;
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}
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#chart1 svg {
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height: 500px;
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min-width: 100px;
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min-height: 100px;
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/*
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margin: 50px;
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Minimum height and width is a good idea to prevent negative SVG dimensions...
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For example width should be =< margin.left + margin.right + 1,
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of course 1 pixel for the entire chart would not be very useful, BUT should not have errors
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*/
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}
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</style>
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<body>
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<div id="chart">
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<svg style="height: 500px;"></svg>
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</div>
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<script src="../lib/d3.v3.js"></script>
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<script src="../lib/crossfilter.js"></script>
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<script src="../nv.d3.js"></script>
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<script src="../src/tooltip.js"></script>
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<script src="../src/utils.js"></script>
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<script src="../src/models/legend.js"></script>
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<script src="../src/models/axis.js"></script>
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<script src="../src/models/scatter.js"></script>
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<script src="../src/models/line.js"></script>
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<script src="../src/models/lineWithFocusChart.js"></script>
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<script src="stream_layers.js"></script>
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<script>
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extend = function(destination, source) {
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for (var property in source) {
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if (property in destination) {
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if ( typeof source[property] === "object" &&
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typeof destination[property] === "object") {
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destination[property] = extend(destination[property], source[property]);
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} else {
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continue;
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}
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} else {
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destination[property] = source[property];
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};
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}
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return destination;
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};
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nv.addGraph(function() {
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var chart = nv.models.lineWithFocusChart();
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chart.xAxis
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.tickFormat(d3.format(',f'));
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chart.x2Axis
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.tickFormat(d3.format(',f'));
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chart.yAxis
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.tickFormat(d3.format(',.2f'));
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chart.y2Axis
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.tickFormat(d3.format(',.2f'));
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var dimension = testCrossfilterData().data;
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var data = normalizeData(dimension.top(Infinity),
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[
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{
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name: 'Stream #1',
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key: 'stream1'
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},
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{
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name: 'Stream #2',
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key: 'stream2'
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},
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{
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name: 'Stream #3',
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key: 'stream3'
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}
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], 'x');
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d3.select('#chart svg')
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.datum(data)
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.transition().duration(500)
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.call(chart);
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nv.utils.windowResize(chart.update);
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return chart;
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});
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function normalizeData(data, series, xAxis)
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{
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var sort = crossfilter.quicksort.by(function(d) { return d[xAxis]; });
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var sorted = sort(data, 0, data.length);
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var result = [];
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series.forEach(function(serie, index)
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{
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result.push({key: serie.name, values: [], color: serie.color});
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});
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data.forEach(function(data, dataIndex)
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{
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series.forEach(function(serie, serieIndex)
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{
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result[serieIndex].values.push({x: data[xAxis], y: data[serie.key]});
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});
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});
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return result;
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};
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function testCrossfilterData() {
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var data = crossfilter(testData());
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try
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{
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data.data = data.dimension(function(d) { return d.y; });
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} catch (e)
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{
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console.log(e.stack);
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}
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return data;
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}
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function testData() {
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var data1 = [];
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var data2 = [];
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var data3 = [];
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stream_layers(3,128,.1).map(function(layer, index) {
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layer.forEach(function(item, i) {
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var object = { x: item.x };
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object['stream' + (index + 1)] = item.y;
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eval('data' + (index + 1)).push(object);
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});
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});
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var data = extend(data1, data2);
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var result = extend(data, data3);
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return result;
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}
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</script>
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