nvd3/examples/crossfilterWithDimentions.html

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<!DOCTYPE html>
<meta charset="utf-8">
<link href="../src/nv.d3.css" rel="stylesheet" type="text/css">
<style>
body {
overflow-y:scroll;
}
text {
font: 12px sans-serif;
}
svg {
display: block;
}
#chart1 svg {
height: 500px;
min-width: 100px;
min-height: 100px;
/*
margin: 50px;
Minimum height and width is a good idea to prevent negative SVG dimensions...
For example width should be =< margin.left + margin.right + 1,
of course 1 pixel for the entire chart would not be very useful, BUT should not have errors
*/
}
</style>
<body>
<div id="chart">
<svg style="height: 500px;"></svg>
</div>
<script src="../lib/d3.v2.js"></script>
<script src="../lib/crossfilter.js"></script>
<script src="../nv.d3.js"></script>
<script src="../src/tooltip.js"></script>
<script src="../src/utils.js"></script>
<script src="../src/models/legend.js"></script>
<script src="../src/models/axis.js"></script>
<script src="../src/models/scatter.js"></script>
<script src="../src/models/line.js"></script>
<script src="../src/models/lineWithFocusChart.js"></script>
<script src="stream_layers.js"></script>
<script>
extend = function(destination, source) {
for (var property in source) {
if (property in destination) {
if ( typeof source[property] === "object" &&
typeof destination[property] === "object") {
destination[property] = extend(destination[property], source[property]);
} else {
continue;
}
} else {
destination[property] = source[property];
};
}
return destination;
};
nv.addGraph(function() {
var chart = nv.models.lineWithFocusChart();
chart.xAxis
.tickFormat(d3.format(',f'));
chart.x2Axis
.tickFormat(d3.format(',f'));
chart.yAxis
.tickFormat(d3.format(',.2f'));
chart.y2Axis
.tickFormat(d3.format(',.2f'));
var rawData = testCrossfilterData();
var data = normalizeData(rawData.datum,
[
{
name: 'Stream #1',
key: 'stream1'
},
{
name: 'Stream #2',
key: 'stream2'
},
{
name: 'Stream #3',
key: 'stream3'
}
]);
d3.select('#chart svg')
.datum(data)
.transition().duration(500)
.call(chart);
nv.utils.windowResize(chart.update);
return chart;
});
function normalizeData(data, series)
{
var sort = crossfilter.quicksort.by(function(d) { return d.key; });
var result = [];
for (var i = 0; i < series.length; i++)
{
var seriesData = data.top(Infinity);
var sorted = sort(seriesData, 0, seriesData.length);
var values = [];
seriesData.forEach(function(item, index)
{
values.push({x: item.key, y: item.value[series[i].key]});
});
result.push({key: series[i].name, values: values, color: series[i].color});
};
return result;
};
function testCrossfilterData() {
var data = crossfilter(testData());
try
{
data.data = data.dimension(function(d) { return d.x; });
data.datum = data.data.group(function(d) { return d; });
data.datum.reduce(function (p, v) {
p.count++;
p.stream1 += v.stream1;
p.stream2 += v.stream2;
p.stream3 += v.stream3;
return p; },
function (p, v) {
p.count--;
p.stream1 -= v.stream1;
p.stream2 -= v.stream2;
p.stream3 -= v.stream3;
return p; },
function () { return {count: 0, stream1: 0, stream2: 0, stream3: 0}; });
} catch (e)
{
console.log(e.stack);
}
return data;
}
function testData() {
var data1 = [];
var data2 = [];
var data3 = [];
stream_layers(3,128,.1).map(function(layer, index) {
layer.forEach(function(item, i) {
var object = { x: item.x };
object['stream' + (index + 1)] = item.y;
eval('data' + (index + 1)).push(object);
});
});
var data = extend(data1, data2);
var result = extend(data, data3);
return result;
}
</script>