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70 lines
1.9 KiB
TypeScript
70 lines
1.9 KiB
TypeScript
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namespace nvd3_test_multibarChart {
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//todo resolve stream_layers var test_data = stream_layers(3, 10 + Math.random() * 100, .1).map(function (data, i) {
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var test_data = [3, 10 + Math.random() * 100, .1].map(function (data, i) {
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return {
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key: 'Stream' + i,
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values: data
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};
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});
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console.log('td', test_data);
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var negative_test_data = d3.range(0, 3).map(function (d, i) {
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return {
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key: 'Stream' + i,
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values: d3.range(0, 11).map(function (f, j) {
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return {
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y: 10 + Math.random() * 100 * (Math.floor(Math.random() * 100) % 2 ? 1 : -1),
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x: j
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}
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})
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};
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});
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var chart;
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nv.addGraph(function () {
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chart = nv.models.multiBarChart()
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.barColor(d3.scale.category20().range())
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.duration(300)
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.margin({ bottom: 100, left: 70 })
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.rotateLabels(45)
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.groupSpacing(0.1)
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;
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chart.reduceXTicks(false).staggerLabels(true);
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chart.xAxis
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.axisLabel("ID of Furry Cat Households")
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.axisLabelDistance(35)
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.showMaxMin(false)
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.tickFormat(d3.format(',.6f'))
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;
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chart.yAxis
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.axisLabel("Change in Furry Cat Population")
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.axisLabelDistance(-5)
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.tickFormat(d3.format(',.01f'))
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;
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chart.dispatch.on('renderEnd', function () {
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nv.log('Render Complete');
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});
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d3.select('#chart1 svg')
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.datum(negative_test_data)
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.call(chart);
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nv.utils.windowResize(chart.update);
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chart.dispatch.on('stateChange', function (e) {
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nv.log('New State:', JSON.stringify(e));
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});
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chart.state.dispatch.on('change', function (state) {
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nv.log('state', JSON.stringify(state));
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});
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return chart;
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});
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}
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