d3.js 如何在条形图中添加线条 [英] d3.js How to add lines to a bar chart
问题描述
我有一个包含 4 个值的数据集.[A B C D].目前,它们显示在条形图中,每个值一个条形.现在因为值 c 和 d 是平均值,我想将它们显示为 a 和 b 条后面的线.d3 这可能吗?如何在同一数据数组中的条形或线条显示之间切换?
I have a data set of 4 values. [a,b,c,d]. Currently they are displayed in a bar chart, for each value one bar. Now as values c and d are averages, i would like to display them as line behind the bars of a and b. Is this possible with d3? How can I switch between bar or line display within the same dataarray?
感谢您的帮助.
推荐答案
我在这里发布了一个示例,因为没有一个答案在 jsbin 或 jsfiddle 等中提供了带有线条的条形图的工作示例.
http://jsbin.com/gisinomo/1/edit
I'm posting an example here because none of the answers provide a working example in jsbin or jsfiddle, etc. of a barchart with a line.
http://jsbin.com/gisinomo/1/edit
该示例是 d3 wiki 上简单条形图的一个分支.
http://bl.ocks.org/mbostock/3885304
The example is a fork of the simple Bar Chart on the d3 wiki.
http://bl.ocks.org/mbostock/3885304
CSS
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.x.axis path {
display: none;
}
.line {
fill: none;
stroke: #444;
stroke-width: 1.5px;
}
JavaScript
var data = [{ "letter": "A", "frequency": .08167},
{ "letter": "B", "frequency": .01492},
{ "letter": "C", "frequency": .02780},
{ "letter": "D", "frequency": .04253},
{ "letter": "E", "frequency": .12702},
{ "letter": "F", "frequency": .02288},
{ "letter": "G", "frequency": .02022},
{ "letter": "H", "frequency": .06094},
{ "letter": "I", "frequency": .06973},
{ "letter": "J", "frequency": .00153},
{ "letter": "K", "frequency": .00747},
{ "letter": "L", "frequency": .04025},
{ "letter": "M", "frequency": .02517},
{ "letter": "N", "frequency": .06749},
{ "letter": "O", "frequency": .07507},
{ "letter": "P", "frequency": .01929},
{ "letter": "Q", "frequency": .00098},
{ "letter": "R", "frequency": .05987},
{ "letter": "S", "frequency": .06333},
{ "letter": "T", "frequency": .09056},
{ "letter": "U", "frequency": .02758},
{ "letter": "V", "frequency": .01037},
{ "letter": "W", "frequency": .02465},
{ "letter": "X", "frequency": .00150},
{ "letter": "Y", "frequency": .01971},
{ "letter": "Z", "frequency": .00074}];
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var formatPercent = d3.format(".0%");
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x2 = d3.scale.ordinal()
.rangeBands([0, width], 0);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(formatPercent);
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
data.forEach(function(d) {
d.frequency = +d.frequency;
});
x.domain(data.map(function(d) { return d.letter; }));
x2.domain(data.map(function(d) { return d.letter; }));
y.domain([0, d3.max(data, function(d) { return d.frequency; })]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Frequency");
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.letter); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.frequency); })
.attr("height", function(d) { return height - y(d.frequency); });
var dataSum = d3.sum(data, function(d) { return d.frequency; });
var line = d3.svg.line()
.x(function(d, i) {
return x2(d.letter) + i; })
.y(function(d, i) { return y(dataSum/data.length); });
svg.append("path")
.datum(data)
.attr("class", "line")
.attr("d", line);
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