在以下示例中,我在字母与频率上映射了直方图。现在,我想要一个折线图也可以用于相同的数据而不需要做太多改变。这意味着只有红线连接直方图的顶部。有人可以帮我吗?
<html>
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.3.0/d3.min.js"></script>
</head>
<body>
<svg width="960" height="500"></svg>
<script>
//Our basic data
var data = [
{frequency:0.08, letter:"A"},
{frequency:0.11,letter:"B"},
{frequency:0.13,letter:"C"}
];
var svg = d3.select("svg");
var margin = {top: 40, bottom: 40, left: 40, right: 40};
var width = svg.attr("width") - margin.left - margin.right;
var height = svg.attr("height") - margin.top - margin.bottom;
var x = d3.scaleBand().rangeRound([0, width]).padding(0.6);
var y = d3.scaleLinear().rangeRound([height, 0]);
//defining our main g in svg
var g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
//Looping for data bars
data.forEach(function(){
x.domain(data.map(function(d) { return d.letter; }));
y.domain([0, d3.max(data, function(d) { return d.frequency; })]);
g
.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g
.append("g")
.call(d3.axisLeft(y).ticks(10, "%"));
g
.selectAll(".bar")
.data(data)
.enter()
.append("rect")
.attr("x", function(d) { return x(d.letter); })
.attr("y", function(d) { return y(d.frequency); })
.attr("width", x.bandwidth())
.attr("height", function(d) { return height - y(d.frequency); });
});
</script>
</body>
</html>
HISTOGRAM:
答案 0 :(得分:2)
首先,摆脱data.forEach
:你为什么要画三次?
之后,定义你的线路生成器:
var line = d3.line()
.x(function(d){ return x(d.letter) + x.bandwidth()/2})
.y(function(d){ return y(d.frequency)})
.curve(d3.curveCardinal);;
此处,x.bandwidth()/2
会将该行放在每个条形图顶部的中间位置。我正在使用d3.curveCardinal
,但您有曲线other options。
然后,添加以下行:
g.append("path")
.datum(data)
.attr("d", line);
以下是演示:
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.3.0/d3.min.js"></script>
</head>
<body>
<svg width="960" height="500"></svg>
<script>
//Our basic data
var data = [
{frequency:0.08, letter:"A"},
{frequency:0.11,letter:"B"},
{frequency:0.13,letter:"C"}
];
var svg = d3.select("svg");
var margin = {top: 40, bottom: 40, left: 40, right: 40};
var width = svg.attr("width") - margin.left - margin.right;
var height = svg.attr("height") - margin.top - margin.bottom;
var x = d3.scaleBand().rangeRound([0, width]).padding(0.6);
var y = d3.scaleLinear().rangeRound([height, 0]);
//defining our main g in svg
var g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
//Looping for data bars
x.domain(data.map(function(d) { return d.letter; }));
y.domain([0, d3.max(data, function(d) { return d.frequency; })]);
var line = d3.line()
.x(function(d){ return x(d.letter) + x.bandwidth()/2})
.y(function(d){ return y(d.frequency)})
.curve(d3.curveCardinal);
g
.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g
.append("g")
.call(d3.axisLeft(y).ticks(10, "%"));
g
.selectAll(".bar")
.data(data)
.enter()
.append("rect")
.attr("x", function(d) { return x(d.letter); })
.attr("y", function(d) { return y(d.frequency); })
.attr("width", x.bandwidth())
.attr("height", function(d) { return height - y(d.frequency); });
g.append("path")
.datum(data)
.attr("d", line)
.attr("stroke", "red")
.attr("fill", "none");
</script>