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我刚刚设法将相应的热图从 SVG 转换为 Canvas 。 (由于大数据集与性能问题)但是生成的热图的位置已经转到了一个新区域。我不确定我该怎么做。通过改变转换也不会改变任何东西。
我的代码:
var units = [];
for(var unit_i = 0; unit_i<=101;){
if(unit_i==0){
units.push(1);
unit_i = unit_i + 5;
}
else{
units.push(unit_i);
unit_i = unit_i + 4;
}
}
var times = [];
for(var times_i = 0; times_i<=1440;){
if(times_i==0){
times.push(1);
times_i = times_i + 10;
}
else{
times.push(times_i);
times_i = times_i + 9;
}
}
var newSample = [{unit:null, timestamp: null, level: null}];
//by using below method we can observe the delay is not due to the data during insertion
for(var unit=1; unit<=99; unit++){
for(var timestamp = 1; timestamp<=100; timestamp++){
var i = Math.random() * 1400;
newSample.push({unit:unit, timestamp: timestamp, level:i});
}
}
var hours = 0;
var hoursIndicator = 0;
var margin = {
top: 170,
right: 100,
bottom: 70,
left: 100
};
var width = 2500,//optimized width
//gridSize = Math.floor(width / times.length),//optimized gridsize
gridSize = 10;//if 20 each interval will have 5
height = 50 * (units.length); //optimized, the greater the length, the greater the height
console.log("this is gridSize:" + gridSize +", this is height: " + height + ", and this is width: " + width);
//SVG container
var svg = d3.select('.trafficCongestions')
.append("svg")
//.style("position", "absolute")
.attr("width", width + margin.left + margin.right)//optimization
.attr("height", height + margin.top + margin.bottom)//optimization
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var canvas = d3.select('.trafficCongestions').append("canvas")
.attr("id", "canvas")
.attr("width", width + margin.left + margin.right)//optimization
.attr("height", height + margin.top + margin.bottom);//optimization
var context = canvas.node().getContext("2d");
context.clearRect(0, 0, width, height);
var detachedContainer = document.createElement("custom");
var dataContainer = d3.select(detachedContainer);
//Reset the overall font size
var newFontSize = width * 62.5 / 900;
//heatmap drawing starts from here
var colorScale = d3.scaleLinear()
.domain([0, d3.max(newSample, function(d, i) {return d.level; })/2, d3.max(newSample, function(d, i) {return d.level; })])
.range(["#009933", "#FFCC00", "#990000"])//obtain the max data value of count
//y-axis (solely based on data of days)
var dayLabels = svg.selectAll(".dayLabel")
.data(units)
.enter().append("text")
.text(function (d) { return d; })
.attr("x", 0)
.attr("y", function (d, i) {
return (i) * (gridSize * 4)/*adjusts the interval distance with (n - 1) concept*/; })
.style("text-anchor", "end")
.attr("transform", "translate(-6," + gridSize + ")");
//x-axis (solely based on data of times)
var timeLabels = svg.selectAll(".timeLabel")
.data(times)
.enter().append("text")
.text(function(d, i) {
var hrs = Math.floor(d/60);
var mins = d%60;
if(hrs<10){
if(mins<10){
return "0"+hrs + ":0" + mins;
}
return "0"+ hrs + ":" + mins;
}
return hrs +":"+ mins;
})
.attr("x", function(d, i) { return i * (gridSize * 9)/*adjusts the interval distance with (n - 1) concept*/; })
.attr("y", 0)
.style("text-anchor", "middle")
.attr("transform", "translate(" + 1 + ", -6)")
var heatMap = dataContainer.selectAll("custom.rect")
.data(newSample)
.enter().append("custom")
.attr("x", function(d) {
return (d.timestamp - 1) * (gridSize);
})
.attr("y", function(d) {
console.log(d.unit);
return (d.unit - 1) * (gridSize);
})
.classed("rect", true)
.attr("class", " rect bordered")
.attr("width", gridSize)
.attr("height", gridSize)
.attr("strokeStyle", "rgba(255,255,255, 0.6)")//to have the middle line or not
.attr("fillStyle", function(d,i){
return colorScale(d.level);
});
drawCanvas();
//Append title to the top
svg.append("text")
.attr("class", "title")
.attr("x", width/2)
.attr("y", -90)
.style("text-anchor", "middle")
.text("Sample Result");
svg.append("text")
.attr("class", "subtitle")
.attr("x", width/2)
.attr("y", -60)
.style("text-anchor", "middle")
.text("HEATMAP");
//Append credit at bottom
svg.append("text")
.attr("class", "credit")
.attr("x", width/2)
.attr("y", gridSize * (units.length+1) + 80)
.style("text-anchor", "middle");
//Extra scale since the color scale is interpolated
var countScale = d3.scaleLinear()
.domain([0, d3.max(newSample, function(d) {return d.level; })])
.range([0, width])
//Calculate the variables for the temp gradient
var numStops = 10;
countRange = countScale.domain();
countRange[2] = countRange[1] - countRange[0];
countPoint = [];
for(var i = 0; i < numStops; i++) {
countPoint.push(i * countRange[2]/(numStops-1) + countRange[0]);
}//for i
//Create the gradient
svg.append("defs")
.append("linearGradient")
.attr("id", "legendLevel")
.attr("x1", "0%").attr("y1", "0%")
.attr("x2", "100%").attr("y2", "0%")
.selectAll("stop")
.data(d3.range(numStops))
.enter().append("stop")
.attr("offset", function(d,i) {
return countScale( countPoint[i] )/width;
})
.attr("stop-color", function(d,i) {
return colorScale( countPoint[i] );
});
var legendWidth = Math.min(width, 400);//the width of the legend
console.log(width);
//Color Legend container
var legendsvg = svg.append("g")
.attr("class", "legendWrapper")
.attr("transform", "translate(" + (width/2) + "," + (gridSize * 100 + 40) + ")");
//Draw the Rectangle
legendsvg.append("rect")
.attr("class", "legendRect")
.attr("x", -legendWidth/2)
.attr("y", 0)
.attr("width", legendWidth)
.attr("height", 10)
.style("fill", "url(#legendLevel)");
//Append title
legendsvg.append("text")
.attr("class", "legendTitle")
.attr("x", 0)
.attr("y", -10)
.style("text-anchor", "middle")
.text("Level");
//Set scale for x-axis
var xScale = d3.scaleLinear()
.range([-legendWidth/2, legendWidth/2])
.domain([ 0, d3.max(newSample, function(d) { return d.level; })] );
//Define x-axis
var xAxis = d3.axisBottom()
.ticks(5)
.scale(xScale);
//Set up X axis
legendsvg.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + (10) + ")")
.call(xAxis);
function drawCanvas(){
var elements = dataContainer.selectAll("custom.rect");
elements.each(function(d){
var node = d3.select(this);
context.beginPath();
context.fillStyle = node.attr("fillStyle");
context.rect(node.attr("x"), node.attr("y"), node.attr("width"), node.attr("height"));
context.fill();
context.closePath();
});
}
html { font-size: 100%; }
.timeLabel, .dayLabel {
font-size: 1rem;
fill: #AAAAAA;
font-weight: 300;
}
.title {
font-size: 1.8rem;
fill: #4F4F4F;
font-weight: 300;
}
.subtitle {
font-size: 1.0rem;
fill: #AAAAAA;
font-weight: 300;
}
.credit {
font-size: 1.2rem;
fill: #AAAAAA;
font-weight: 400;
}
.axis path, .axis tick, .axis line {
fill: none;
stroke: none;
}
.legendTitle {
font-size: 1.3rem;
fill: #4F4F4F;
font-weight: 300;
<script src="https://d3js.org/d3.v4.min.js"></script>
<div id="trafficCongestions" class="trafficCongestions"></div>
最佳答案
当您使用 svg
来显示 text
和 legend
时,我会说您可以绝对定位 Canvas SVG 的顶部 - 通过 CSS。
以下是 CSS 更改:
div#trafficCongestions {
position: relative;
}
canvas {
position: absolute;
top: 170px;
left: 100px;
}
您也可以使用 d3 样式
执行上述操作,因为 边距 是在脚本中定义的。我只是想表明这是一个可以使用的选项。
var units = [];
for(var unit_i = 0; unit_i<=101;){
if(unit_i==0){
units.push(1);
unit_i = unit_i + 5;
}
else{
units.push(unit_i);
unit_i = unit_i + 4;
}
}
var times = [];
for(var times_i = 0; times_i<=1440;){
if(times_i==0){
times.push(1);
times_i = times_i + 10;
}
else{
times.push(times_i);
times_i = times_i + 9;
}
}
var newSample = [{unit:null, timestamp: null, level: null}];
//by using below method we can observe the delay is not due to the data during insertion
for(var unit=1; unit<=99; unit++){
for(var timestamp = 1; timestamp<=100; timestamp++){
var i = Math.random() * 1400;
newSample.push({unit:unit, timestamp: timestamp, level:i});
}
}
var hours = 0;
var hoursIndicator = 0;
var margin = {
top: 170,
right: 100,
bottom: 70,
left: 100
};
var width = 2500,//optimized width
//gridSize = Math.floor(width / times.length),//optimized gridsize
gridSize = 10;//if 20 each interval will have 5
height = 50 * (units.length); //optimized, the greater the length, the greater the height
//console.log("this is gridSize:" + gridSize +", this is height: " + height + ", and this is width: " + width);
//SVG container
var svg = d3.select('.trafficCongestions')
.append("svg")
//.style("position", "absolute")
.attr("width", width + margin.left + margin.right)//optimization
.attr("height", height + margin.top + margin.bottom)//optimization
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var canvas = d3.select('.trafficCongestions').append("canvas")
.attr("id", "canvas")
.attr("width", width + margin.left + margin.right)//optimization
.attr("height", height + margin.top + margin.bottom);//optimization
var context = canvas.node().getContext("2d");
context.clearRect(0, 0, width, height);
var detachedContainer = document.createElement("custom");
var dataContainer = d3.select(detachedContainer);
//Reset the overall font size
var newFontSize = width * 62.5 / 900;
//heatmap drawing starts from here
var colorScale = d3.scaleLinear()
.domain([0, d3.max(newSample, function(d, i) {return d.level; })/2, d3.max(newSample, function(d, i) {return d.level; })])
.range(["#009933", "#FFCC00", "#990000"])//obtain the max data value of count
//y-axis (solely based on data of days)
var dayLabels = svg.selectAll(".dayLabel")
.data(units)
.enter().append("text")
.text(function (d) { return d; })
.attr("x", 0)
.attr("y", function (d, i) {
return (i) * (gridSize * 4)/*adjusts the interval distance with (n - 1) concept*/; })
.style("text-anchor", "end")
.attr("transform", "translate(-6," + gridSize + ")");
//x-axis (solely based on data of times)
var timeLabels = svg.selectAll(".timeLabel")
.data(times)
.enter().append("text")
.text(function(d, i) {
var hrs = Math.floor(d/60);
var mins = d%60;
if(hrs<10){
if(mins<10){
return "0"+hrs + ":0" + mins;
}
return "0"+ hrs + ":" + mins;
}
return hrs +":"+ mins;
})
.attr("x", function(d, i) { return i * (gridSize * 9)/*adjusts the interval distance with (n - 1) concept*/; })
.attr("y", 0)
.style("text-anchor", "middle")
.attr("transform", "translate(" + 1 + ", -6)")
var heatMap = dataContainer.selectAll("custom.rect")
.data(newSample)
.enter().append("custom")
.attr("x", function(d) {
return (d.timestamp - 1) * (gridSize);
})
.attr("y", function(d) {
//console.log(d.unit);
return (d.unit - 1) * (gridSize);
})
.classed("rect", true)
.attr("class", " rect bordered")
.attr("width", gridSize)
.attr("height", gridSize)
.attr("strokeStyle", "rgba(255,255,255, 0.6)")//to have the middle line or not
.attr("fillStyle", function(d,i){
return colorScale(d.level);
});
drawCanvas();
//Append title to the top
svg.append("text")
.attr("class", "title")
.attr("x", width/2)
.attr("y", -90)
.style("text-anchor", "middle")
.text("Sample Result");
svg.append("text")
.attr("class", "subtitle")
.attr("x", width/2)
.attr("y", -60)
.style("text-anchor", "middle")
.text("HEATMAP");
//Append credit at bottom
svg.append("text")
.attr("class", "credit")
.attr("x", width/2)
.attr("y", gridSize * (units.length+1) + 80)
.style("text-anchor", "middle");
//Extra scale since the color scale is interpolated
var countScale = d3.scaleLinear()
.domain([0, d3.max(newSample, function(d) {return d.level; })])
.range([0, width])
//Calculate the variables for the temp gradient
var numStops = 10;
countRange = countScale.domain();
countRange[2] = countRange[1] - countRange[0];
countPoint = [];
for(var i = 0; i < numStops; i++) {
countPoint.push(i * countRange[2]/(numStops-1) + countRange[0]);
}//for i
//Create the gradient
svg.append("defs")
.append("linearGradient")
.attr("id", "legendLevel")
.attr("x1", "0%").attr("y1", "0%")
.attr("x2", "100%").attr("y2", "0%")
.selectAll("stop")
.data(d3.range(numStops))
.enter().append("stop")
.attr("offset", function(d,i) {
return countScale( countPoint[i] )/width;
})
.attr("stop-color", function(d,i) {
return colorScale( countPoint[i] );
});
var legendWidth = Math.min(width, 400);//the width of the legend
//console.log(width);
//Color Legend container
var legendsvg = svg.append("g")
.attr("class", "legendWrapper")
.attr("transform", "translate(" + (width/2) + "," + (gridSize * 100 + 40) + ")");
//Draw the Rectangle
legendsvg.append("rect")
.attr("class", "legendRect")
.attr("x", -legendWidth/2)
.attr("y", 0)
.attr("width", legendWidth)
.attr("height", 10)
.style("fill", "url(#legendLevel)");
//Append title
legendsvg.append("text")
.attr("class", "legendTitle")
.attr("x", 0)
.attr("y", -10)
.style("text-anchor", "middle")
.text("Level");
//Set scale for x-axis
var xScale = d3.scaleLinear()
.range([-legendWidth/2, legendWidth/2])
.domain([ 0, d3.max(newSample, function(d) { return d.level; })] );
//Define x-axis
var xAxis = d3.axisBottom()
.ticks(5)
.scale(xScale);
//Set up X axis
legendsvg.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + (10) + ")")
.call(xAxis);
function drawCanvas(){
var elements = dataContainer.selectAll("custom.rect");
elements.each(function(d){
var node = d3.select(this);
context.beginPath();
context.fillStyle = node.attr("fillStyle");
context.rect(node.attr("x"), node.attr("y"), node.attr("width"), node.attr("height"));
context.fill();
context.closePath();
});
}
html { font-size: 100%; }
div#trafficCongestions {
position: relative;
}
canvas {
position: absolute;
top: 170px;
left: 100px;
}
.timeLabel, .dayLabel {
font-size: 1rem;
fill: #AAAAAA;
font-weight: 300;
}
.title {
font-size: 1.8rem;
fill: #4F4F4F;
font-weight: 300;
}
.subtitle {
font-size: 1.0rem;
fill: #AAAAAA;
font-weight: 300;
}
.credit {
font-size: 1.2rem;
fill: #AAAAAA;
font-weight: 400;
}
.axis path, .axis tick, .axis line {
fill: none;
stroke: none;
}
.legendTitle {
font-size: 1.3rem;
fill: #4F4F4F;
font-weight: 300;
}
<script src="https://d3js.org/d3.v4.min.js"></script>
<div id="trafficCongestions" class="trafficCongestions"></div>
让我知道这是否有意义。如果没有,让我们寻找其他方法。
根据评论编辑:(visual studio 不支持通过上述方法添加的 CSS 样式)
使用 d3
添加样式:
canvas.style('position', 'absolute').style('top', margin.top+'px').style('left', margin.left+'px')
这成功了。
关于javascript - 从 D3 转换后 Canvas 的定位,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48398758/
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