我有一个包含4个值的数据集。 [A B C D]。目前,它们以条形图显示,每个值为一个条形。现在,当值c和d是平均值时,我想将它们显示为a和b的条形后面的线。这可能与d3有关吗?如何在同一数据阵列中的条形或线条显示之间切换?
感谢您的帮助。
答案 0 :(得分:9)
我在这里发布一个例子,因为没有一个答案在带有线条的条形图的jsbin或jsfiddle等中提供了一个工作示例。
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
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);
答案 1 :(得分:1)
制作一个包含数据中两个属性的对象列表:
var data = [1,2,3,4];
var objects = data.slice(0, data.length/2).map(
function(d,i) { return { value:d, average:data[i+data.length/2] }; }
);
然后你可以做这样的事情(未经测试):
var bars = chart.selectAll("g.bar")
.data(objects)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function(d,i) { return "translate("+(i*10)+",0)"; });
bars.append("rect")
.attr("x", 0)
.attr("y", function(d,i) { return height - d.value; })
.attr("width", 10)
.attr("height", function(d,i) { return d.value; });
bars.append("line")
.attr("x1", 0)
.attr("y1", function(d,i) { return height - d.average; })
.attr("x2", 10)
.attr("y2", function(d,i) { return height - d.average; });