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/// <reference path="nvd3.d.ts" /> namespace nvd3_test_multibarChart { //todo resolve stream_layers var test_data = stream_layers(3, 10 + Math.random() * 100, .1).map(function (data, i) { var test_data = [3, 10 + Math.random() * 100, .1].map(function (data, i) { return { key: 'Stream' + i, values: data }; }); console.log('td', test_data); var negative_test_data = d3.range(0, 3).map(function (d, i) { return { key: 'Stream' + i, values: d3.range(0, 11).map(function (f, j) { return { y: 10 + Math.random() * 100 * (Math.floor(Math.random() * 100) % 2 ? 1 : -1), x: j } }) }; }); var chart; nv.addGraph(function () { chart = nv.models.multiBarChart() .barColor(d3.scale.category20().range()) .duration(300) .margin({ bottom: 100, left: 70 }) .rotateLabels(45) .groupSpacing(0.1) ; chart.reduceXTicks(false).staggerLabels(true); chart.xAxis .axisLabel("ID of Furry Cat Households") .axisLabelDistance(35) .showMaxMin(false) .tickFormat(d3.format(',.6f')) ; chart.yAxis .axisLabel("Change in Furry Cat Population") .axisLabelDistance(-5) .tickFormat(d3.format(',.01f')) ; chart.dispatch.on('renderEnd', function () { nv.log('Render Complete'); }); d3.select('#chart1 svg') .datum(negative_test_data) .call(chart); nv.utils.windowResize(chart.update); chart.dispatch.on('stateChange', function (e) { nv.log('New State:', JSON.stringify(e)); }); chart.state.dispatch.on('change', function (state) { nv.log('state', JSON.stringify(state)); }); return chart; }); }