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javascript - 如何在D3图中添加点?

转载 作者:行者123 更新时间:2023-12-03 02:44:43 25 4
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我的目标是画一个有线和点的图表。

我能够使用缩放和画笔绘制线条和点,但问题是,当我放大或缩小时,点不会根据缩放而移动。

我对 D3 图比较陌生。下面是我用来绘制点的代码:

    g.selectAll(".dot")
.data(dots)
.enter()
.append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx", function(d) { return x(new Date(d.date)); })
.attr("cy", function(d) { return y(d.price); })
.on("mouseover", function(d){
return tooltip.style("visibility", "visible").html("Expected value is: "+d.expected_value + "<br/>" + "value : "+d.close +"<br/>" + "deviation is: "+d.deviation_expected)
})
.on("mousemove", function(){return tooltip.style("top", (event.pageY-10)+"px").style("left",(event.pageX+10)+"px");})
.on("mouseout", function(){return tooltip.style("visibility", "hidden");});

我创建了jsfiddle

请帮忙。

最佳答案

我将描述在进行可视化之前必须了解的一些基本功能。根据 fiddle ,您有两组必须在 X 和 Y 轴上绘制的数据。(例如:数据、点)。尽管您需要了解域和范围的概念,但此数据集的域是不同的。

d3.scaleLinear() <>

Constructs a new continuous scale with the unit domain [0, 1], the unit range [0, 1], the default interpolator and clamping disabled. Linear scales are a good default choice for continuous quantitative data because they preserve proportional differences. Each range value y can be expressed as a function of the domain value x: y = mx + b.

d3.scaleTime() <>

Constructs a new time scale with the domain [2000-01-01, 2000-01-02], the unit range [0, 1], the default interpolator and clamping disabled.

  • 单个数据系列的域和范围映射
  • 画笔和缩放及其到比例的反向映射
  • 根据新比例重新绘制绘图。

** 下面的代码片段只是为了解释画笔的实现,而不考虑点的比例。通过阅读文档自行尝试映射逻辑 奥 git _a

var data = [{
"date": "2017-04-22T11:45:00.000Z",
"total": 731.6047915220261,
"min": 1.8769680261611938,
"key_field": "1492861500000",
"max": 2.7165653705596924,
"price": 1.8769680261611938,
"total_count": 315,
"mean": 2.3225548937207177,
"count": 315
},
{
"date": "2017-04-01T05:30:00.000Z",
"total": 708.6527144908905,
"min": 1.779407262802124,
"key_field": "1491024600000",
"max": 2.6382412910461426,
"price": 1.779407262802124,
"total_count": 315,
"mean": 2.249691157113938,
"count": 315
},
{
"date": "2017-03-31T02:45:00.000Z",
"total": 700.1026722192764,
"min": 1.8156663179397583,
"key_field": "1490928300000",
"max": 2.587003469467163,
"price": 1.8156663179397583,
"total_count": 315,
"mean": 2.2225481657754806,
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},
{
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"total": 699.6637561321259,
"min": 1.8294581174850464,
"key_field": "1490927400000",
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"price": 1.8294581174850464,
"total_count": 315,
"mean": 2.221154781371828,
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"price": 1.8353750705718994,
"total_count": 315,
"mean": 2.2382168750914317,
"count": 315
},
{
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"total": 701.7422981262207,
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"total_count": 315,
"mean": 2.233181843681941,
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{
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"total": 706.1140650510788,
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"key_field": "1490919300000",
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"max": 2.5975091457366943,
"price": 1.8497636318206787,
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"mean": 2.2462143224383158,
"count": 315
},
{
"date": "2017-03-30T23:45:00.000Z",
"total": 707.9171552658081,
"min": 1.8517450094223022,
"key_field": "1490917500000",
"max": 2.5352094173431396,
"price": 1.8517450094223022,
"total_count": 315,
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"count": 315
},
{
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"total": 707.09266269207,
"min": 1.8389506340026855,
"key_field": "1490916600000",
"max": 2.593708038330078,
"price": 1.8389506340026855,
"total_count": 315,
"mean": 2.244738611720857,
"count": 315
},
{
"date": "2017-03-30T23:15:00.000Z",
"total": 708.3666490316391,
"min": 1.861556053161621,
"key_field": "1490915700000",
"max": 2.6234216690063477,
"price": 1.861556053161621,
"total_count": 315,
"mean": 2.2487830127988544,
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}
]
var dots =
[
{
"date": "2017-04-22T11:45:00.000Z",
"total": 731.6047915220261,
"min": 1.8769680261611938,
"key_field": "1492861500000",
"max": 2.7165653705596924,
"price": 1.8769680261611938,
"total_count": 315,
"mean": 2.3225548937207177,
"count": 315
},

{
"date": "2017-03-31T01:45:00.000Z",
"total": 701.7422981262207,
"min": 1.8062856197357178,
"key_field": "1490924700000",
"max": 2.5804450511932373,
"price": 1.7062856197357178,
"total_count": 315,
"mean": 2.2277533273848276,
"count": 315
},
{
"date": "2017-03-31T01:30:00.000Z",
"total": 706.3951338529587,
"min": 1.8176854848861694,
"key_field": "1490923800000",
"max": 2.584993600845337,
"price": 1.8176854848861694,
"total_count": 315,
"mean": 2.242524234453837,
"count": 315
},

{
"date": "2017-03-28T18:00:00.000Z",
"total": 728.67049741745,
"min": 1.2837289810180664,
"key_field": "1490724000000",
"max": 2.706052541732788,
"price": 1.3837289810180664,
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"mean": 2.3132396743411108,
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{
"date": "2017-03-26T20:00:00.000Z",
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"key_field": "1490558400000",
"max": 2.762291669845581,
"price": 1.4257900476455688,
"total_count": 315,
"mean": 2.291019728827098,
"count": 315
},
{
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"total": 726.2018908262253,
"min": 1.8992395401000977,
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{
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{
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{
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"key_field": "1490581800000",
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"count": 315
},
{
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"count": 315
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{
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{
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},


]


var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 110, left: 40},
margin2 = {top: 430, right: 20, bottom: 30, left: 40},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
height2 = +svg.attr("height") - margin2.top - margin2.bottom;

var parseDate = d3.timeParse("%m/%d/%Y %H:%M");
var g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");

var x = d3.scaleTime().range([0, width]),
x2 = d3.scaleTime().range([0, width]),
y = d3.scaleLinear().range([height, 0]),
y2 = d3.scaleLinear().range([height2, 0]),
dotXScale = d3.scaleTime().range([0, width]),
dotYScale = d3.scaleLinear().range([height, 0]);

var xAxis = d3.axisBottom(x),
xAxis2 = d3.axisBottom(x2),
yAxis = d3.axisLeft(y);

var brush = d3.brushX()
.extent([[0, 0], [width, height2]])
.on("brush end", brushed);

var zoom = d3.zoom()
.scaleExtent([1, Infinity])
.translateExtent([[0, 0], [width, height]])
.extent([[0, 0], [width, height]])
.on("zoom", zoomed);

var line = d3.line()
.x(function (d) { return x(new Date(d.date)); })
.y(function (d) { return y(d.price); });

var line2 = d3.line()
.x(function (d) { return x2(new Date(d.date)); })
.y(function (d) { return y2(d.price); });

var clip = svg.append("defs").append("svg:clipPath")
.attr("id", "clip")
.append("svg:rect")
.attr("width", width)
.attr("height", height)
.attr("x", 0)
.attr("y", 0);


var Line_chart = svg.append("g")
.attr("class", "focus")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.attr("clip-path", "url(#clip)");


var focus = svg.append("g")
.attr("class", "focus")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");

var context = svg.append("g")
.attr("class", "context")
.attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");

x.domain(d3.extent(data, function(d) { return new Date(d.date); }));
dotXScale.domain(d3.extent(dots, function(d) { return new Date(d.date); }));
y.domain([0, d3.max(data, function (d) { return d.price; })]);
dotYScale.domain([0, d3.max(dots, function (d) { return d.price; })]);
x2.domain(x.domain());
y2.domain(y.domain());


focus.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);

focus.append("g")
.attr("class", "axis axis--y")
.call(yAxis);

Line_chart.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);

context.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line2);

context.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);

context.append("g")
.attr("class", "brush")
.call(brush)
.call(brush.move, x.range());

svg.append("rect")
.attr("class", "zoom")
.attr("width", width)
.attr("height", height)
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.call(zoom);

var tooltip = d3.select("body")
.append("div")
.style("position", "absolute")
.style("z-index", "10")
.style("visibility", "hidden")
.text("a simple tooltip");

g.selectAll(".dot")
.data(dots)
.enter()
.append("circle")
.attr("class", "dot")
.attr("r", 3.5)
.attr("cx", function(d) {
//console.log('---',x(new Date(d.date)))
return dotXScale(new Date(d.date));
})
.attr("cy", function(d) {
//console.log(y(d.price));
return dotYScale(d.price);
})
.on("mouseover", function(d){
console.log(d);
return tooltip.style("visibility", "visible").html("Expected value is: "+d.expected_value + "<br/>" + "value : "+d.close +"<br/>" + "deviation is: "+d.deviation_expected)
})
.on("mousemove", function(){return tooltip.style("top", (event.pageY-10)+"px").style("left",(event.pageX+10)+"px");})
.on("mouseout", function(){return tooltip.style("visibility", "hidden");});



function brushed() {
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "zoom") return; // ignore brush-by-zoom
var s = d3.event.selection || x2.range();
x.domain(s.map(x2.invert, x2));
dotXScale.domain(s.map(x2.invert), x2);
Line_chart.select(".line").attr("d", line);
focus.select(".axis--x").call(xAxis);
svg.select(".zoom").call(zoom.transform, d3.zoomIdentity
.scale(width / (s[1] - s[0]))
.translate(-s[0], 0));

g.selectAll(".dot").transition(1000)
.attr("cx", function (d) {
return dotXScale(new Date(d.date)) })
.attr("cy", function (d) {
//console.log(y(d.price));
return dotYScale(d.price) });
}

function zoomed() {
if (d3.event.sourceEvent && d3.event.sourceEvent.type === "brush") return; // ignore zoom-by-brush
var t = d3.event.transform;
x.domain(t.rescaleX(x2).domain());
Line_chart.select(".line").attr("d", line);
focus.select(".axis--x").call(xAxis);
context.select(".brush").call(brush.move, x.range().map(t.invertX, t));
}

function type(d) {
d.date = new Date(d.date);
d.price = +d.price;
return d;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 2px;
}

.heading {
padding-top: 30px;
}

.buttonWidth {
height: 34px;
width: 50px;
}

.actiontable {
width: 36rem;
}

.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
.zoom {
cursor: move;
fill: none;
pointer-events: all;
}



.area {
fill: none;
stroke: #a2dced;
stroke-width: 2;
clip-path: url(#clip);
}

.zoom {
cursor: move;
fill: none;
pointer-events: all;
}

rect.selection
{
fill:green;
}
<script src="https://d3js.org/d3.v4.min.js"></script>
<svg width="960" height="500"></svg>

关于javascript - 如何在D3图中添加点?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48144725/

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