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lloydroc revised this gist
Mar 19, 2018 . 1 changed file with 132 additions and 22 deletions.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -11,23 +11,19 @@ } .peak-line-label { font-size: 8pt; color: red; } .paths { fill: none; stroke-width: 2; } .paths-selected { fill: none; stroke-width: 4; } .points { } .point-selected { } .point-callout { fill: grey; @@ -41,37 +37,73 @@ <svg width="900" height="300" id="timeseries"></svg> </body> <script src="https://d3js.org/d3.v5.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.21.0/moment.min.js"></script> <script> var avg = [], peak = [], endTime = moment().valueOf(), startTime = moment().subtract(1,'months').valueOf(), n = 31*2, step = (endTime-startTime)/n, standardAvgWorkDay = gaussian(60,5), standardAvgWeekendDay = gaussian(10,1), colors = d3.scaleOrdinal(d3.schemeSet1); var svg = d3.select("#timeseries"), margin = {top: 20, right: 20, bottom: 20, left: 20}, width = svg.attr('width')-margin.left-margin.right, height = svg.attr('height')-margin.top-margin.bottom; var g,x,y; function simulateData() { for(var i=0;i<n;i++) { var time = moment(i*step+startTime); console.log(time.day()); if(time.day() == 6 || time.day() == 7) { avgPoint = { t: time.valueOf(), y: standardAvgWeekendDay()} peak.push({ t: time.valueOf(), y: avgPoint.y+Math.random()*2}); } else { avgPoint = { t: time.valueOf(), y: standardAvgWorkDay()} peak.push({ t: time.valueOf(), y: avgPoint.y+Math.random()*85}); } avg.push(avgPoint); } } simulateData(); drawChart(); drawSeries(peak,colors(6),0,'Peak'); drawSeries(avg,colors(2),1,'Avg'); function drawChart() { g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")"); x = d3.scaleTime() .domain([startTime, endTime]) .range([0, width]) .nice(); y = d3.scaleLinear() .domain([0, 150]) .range([height,0]) .nice(); var labels = g.append('g'); labels.append('text') .text('Noise Exposure [dB]') .attr('x',width/2-30) .attr('y',0) .classed('chart-labels',true); g.append("g") .attr("class", "axis axis--y") .attr("transform", "translate(5,0)") .call(d3.axisLeft(y)); g.append("g") .attr("class", "axis axis--x") .attr("transform", "translate(5," + y(0) + ")") .call(d3.axisBottom(x)); var line = d3.line() @@ -84,6 +116,31 @@ .y(function(d) { return y(0); }) .curve(d3.curveCatmullRom.alpha(0.5)); var t = d3.transition() .duration(2000) .ease(d3.easeElasticOut); var peakLineData = [{t: startTime, y: 140},{t: endTime, y: 140}]; var peakLine = g.append('g').selectAll('peakLine').data(peakLineData); peakLine.enter().append('path').classed('peak-line',true).attr('d',line(peakLineData)); var peakLineText = g.append('text') .text('Peak Sound Pressure 140dB') .attr('x',x(endTime)-120) .attr('y',y(142)) .classed('peak-line-label',true); } function drawSeries(data,color,legendIndex,legendLabel) { var line = d3.line() .x(function(d) { return x(d.t); }) .y(function(d) { return y(d.y); }) .curve(d3.curveCatmullRom.alpha(0.5)); var lineZero = d3.line() .x(function(d) { return x(d.t); }) .y(function(d) { return y(0); }) .curve(d3.curveCatmullRom.alpha(0.5)); var t = d3.transition() .duration(2000) .ease(d3.easeElasticOut); @@ -95,9 +152,11 @@ .attr('x',x(endTime)-120) .attr('y',y(142)) .classed('peak-line-label',true); var paths = g.append('g').selectAll('paths').data(data); paths.enter().append('path') .classed('paths',true) .attr('stroke',color) .on('mouseover', function(d) { d3.select(this).classed('paths-selected',true); var thisColor = d3.select(this).attr('stroke'); @@ -115,6 +174,7 @@ .attr('cx',function(d) { return x(d.t)}) .attr('cy',function(d) { return y(0)}) .attr('class','points') .attr('fill',color) .on('mouseover', function(d) { d3.select(this).attr('class','point-selected').attr('r',6); var thisColor = d3.select(this).attr('stroke'); @@ -169,6 +229,56 @@ .transition(t) .attr('cx',function(d) { return x(d.t)}) .attr('cy',function(d) { return y(d.y)}) var legend = g.append('g'); var legendRect = legend.selectAll('legendRect').data([{x: 10+legendIndex*75, y: 0}]) legendRect.enter() .append('rect') .attr('width',20) .attr('height',10) .attr('x',function(d) { return d.x}) .attr('y',function(d) { return d.y}) .attr('rx',3) .attr('ry',3) .attr('fill',color) var legendText = legend.selectAll('legendText').data([{x: 32+legendIndex*75, y: 10}]) legendText.enter() .append('text') .attr('x',function(d) { return d.x}) .attr('y',function(d) { return d.y}) .style('color',color) .text(legendLabel) .classed('legend-text',true) } // returns a gaussian random function with the given mean and stdev. function gaussian(mean, stdev) { var y2; var use_last = false; return function() { var y1; if(use_last) { y1 = y2; use_last = false; } else { var x1, x2, w; do { x1 = 2.0 * Math.random() - 1.0; x2 = 2.0 * Math.random() - 1.0; w = x1 * x1 + x2 * x2; } while( w >= 1.0); w = Math.sqrt((-2.0 * Math.log(w))/w); y1 = x1 * w; y2 = x2 * w; use_last = true; } var retval = mean + stdev * y1; if(retval > 0) return retval; return -retval; } } </script> -
lloydroc created this gist
Mar 17, 2018 .There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,175 @@ <html> <head> <meta charset="utf-8"> </head> <style> .peak-line { fill: none; stroke-width: 1; stroke: red; stroke-dasharray: 2,2; } .peak-line-label { font-size: 8pt; stroke: red; } .paths { fill: none; stroke-width: 2; stroke: blue; } .paths-selected { fill: none; stroke-width: 4; stroke: blue; } .points { fill: blue; } .point-selected { fill: blue; } .point-callout { fill: grey; } .text-callout { font-size: 8pt; } </style> <body> <svg width="900" height="300" id="timeseries"></svg> </body> <script src="https://d3js.org/d3.v5.js"></script> <script> var values = [], endTime = Date.now(), startTime = endTime - 24*30*60*60*1000, n = 50; step = (endTime-startTime)/n; for(var i=0;i<n;i++) { values.push({ t: i*step+startTime, y: Math.random()*120}); } drawSvg(startTime,endTime,values); function drawSvg(startTime,endTime,data) { var svg = d3.select("#timeseries"), margin = {top: 20, right: 20, bottom: 20, left: 20}, width = svg.attr('width')-margin.left-margin.right, height = svg.attr('height')-margin.top-margin.bottom, g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")"); var x = d3.scaleTime() .domain([startTime, endTime]) .range([0, width]) .nice(); var y = d3.scaleTime() .domain([0, 150]) .range([height,0]) .nice(); g.append("g") .attr("class", "axis axis--x") .attr("transform", "translate(0," + y(0) + ")") .call(d3.axisBottom(x)); var line = d3.line() .x(function(d) { return x(d.t); }) .y(function(d) { return y(d.y); }) .curve(d3.curveCatmullRom.alpha(0.5)); var lineZero = d3.line() .x(function(d) { return x(d.t); }) .y(function(d) { return y(0); }) .curve(d3.curveCatmullRom.alpha(0.5)); var t = d3.transition() .duration(2000) .ease(d3.easeElasticOut); var peakLineData = [{t: startTime, y: 140},{t: endTime, y: 140}]; var peakLine = g.append('g').selectAll('peakLine').data(peakLineData); peakLine.enter().append('path').classed('peak-line',true).attr('d',line(peakLineData)); var peakLineText = g.append('text') .text('Peak Sound Pressure 140dB') .attr('x',x(endTime)-120) .attr('y',y(142)) .classed('peak-line-label',true); var paths = g.append('g').selectAll('paths').data(data); paths.enter().append('path') .classed('paths',true) .on('mouseover', function(d) { d3.select(this).classed('paths-selected',true); var thisColor = d3.select(this).attr('stroke'); }) .on('mouseout', function(d) { d3.select(this).classed('paths',true); }) .attr('d',lineZero(data)) .transition(t) .attr('d',line(data)) var points = g.append('g').selectAll('points').data(data); points.enter().append('circle') .attr('r',4) .attr('cx',function(d) { return x(d.t)}) .attr('cy',function(d) { return y(0)}) .attr('class','points') .on('mouseover', function(d) { d3.select(this).attr('class','point-selected').attr('r',6); var thisColor = d3.select(this).attr('stroke'); var callout = g.append('g').classed('callout',true) function smartLabelX(d) { var xv = x(d.t)-110; if(xv < 0) return 0; if(xv+220>x(endTime)) return x(endTime)-220; return xv; } var calloutRect = callout.selectAll('point-callout').data([d]) calloutRect.enter() .append('rect') .attr('width',220) .attr('height',50) .attr('x',smartLabelX) .attr('y',function(d) { return y(d.y)-60}) .attr('rx',5) .attr('ry',5) .classed('point-callout',true); var triData = [ {x: x(d.t)-9, y: y(d.y)-10}, {x: x(d.t)+0, y: y(d.y)}, {x: x(d.t)+9, y: y(d.y)-10} ]; var triLine = d3.line() .x(function(d) { ;return d.x; }) .y(function(d) { return d.y; }); var calloutTri = callout.selectAll('point-callout-tri').data(triData) calloutTri.enter() .append('path') .attr('d',triLine(triData)) .classed('point-callout',true); function createCalloutText(d,i) { return i==0 ? new Date(d.t) : parseFloat(d.y).toFixed(1)+'dB'; } var calloutText = callout.selectAll('text-callout').data([d,d]).enter() .append('text') .attr("x",function(d,i) { return i==0 ? smartLabelX(d)+10 : Math.min(x(d.t)-20,x(endTime)-100)}) .attr("y",function(d,i) { return i==0 ? y(d.y)-40 : y(d.y) - 20}) .text(createCalloutText) .classed('text-callout',function(d,i) { return i==0 ? true : false}) }) .on('mouseout', function(d) { d3.select(this).attr('class','points').attr('r',4); g.selectAll('.callout').remove(); }) .transition(t) .attr('cx',function(d) { return x(d.t)}) .attr('cy',function(d) { return y(d.y)}) } </script> </html>