我的水平条形图数据是一个对象数组,如下所示: {值:-10,数据集:“Corvette”,年份:“1975”}。 “数据集”标签位于y轴上。我想将“year”标签附加到“dataset”标签,因此y轴上的标签将如下所示:
Corvette 1975
到目前为止,我可以在Y轴上添加一个或另一个,但不能同时添加两个。这是我的代码:
var margin = {top: 30, right: 10, bottom: 50, left: 50},
width = 500,
height = 300;
var data = [{value: -10, dataset:"Corvette", year: "1975"},
{value: 40, dataset:"Lumina", year: "1975"},
{value: -10, dataset:"Gran Torino", year: "1971"},
{value: -50, dataset:"Pomtiac GTO", year: "1964"},
{value: 30, dataset:"Mustang", year: "19655"},
{value: -20, dataset:"Camaro", year: "1973"},
{value: -70, dataset:"Firebird", year: "1975"}];
// Add svg to
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 + ')');
// set the ranges
var y = d3.scaleBand()
.range([height, 0])
.padding(0.1);
var x = d3.scaleLinear()
.range([0, width]);
// Scale the range of the data in the domains
x.domain(d3.extent(data, function (d) {
return d.value;
}));
y.domain(data.map(function (d) {
return d.dataset;
}));
// append the rectangles for the bar chart
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", function (d) {
return "bar bar--" + (d.value < 0 ? "negative" : "positive");
})
.attr("x", function (d) {
return x(Math.min(0, d.value));
})
.attr("y", function (d) {
return y(d.dataset);
})
.attr("width", function (d) {
return Math.abs(x(d.value) - x(0));
})
.attr("height", y.bandwidth());
// add the x Axis
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// add the y Axis
let yAxisGroup = svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + x(0) + ",0)")
.call(d3.axisRight(y));
yAxisGroup.selectAll('.tick')
.data(data)
.select('text')
.attr('x', function(d,i){return d.value<0?9:-9})
.style('text-anchor', function(d,i){return d.value<0?'start':'end'})
答案 0 :(得分:2)
您可以将d.dataset和d.year的连接字符串映射到y标度,然后在使用该y标度定位rects时使用相同的连接字符串。
然后y轴将使用该连接字符串。
示例:强>
https://jsfiddle.net/2e1xLxLc/4/
相关代码:
//create a reusable function to concatenate the values you want to use
function yValue(d) { return d.dataset + " " + d.year }
// Scale the range of the data in the domains
x.domain(d3.extent(data, function (d) {
return d.value;
}));
y.domain(data.map(function(d){ return yValue(d) }));
// append the rectangles for the bar chart
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", function (d) {
return "bar bar--" + (d.value < 0 ? "negative" : "positive");
})
.attr("x", function (d) {
return x(Math.min(0, d.value));
})
.attr("y", function (d) {
return y(yValue(d));
})
.attr("width", function (d) {
return Math.abs(x(d.value) - x(0));
})
.attr("height", y.bandwidth());
答案 1 :(得分:1)
如果您(出于任何原因)希望保留相同的域名,请使用tickFormat
获取年份:
.call(d3.axisRight(y)
.tickFormat(function(d) {
//filter the data array according to 'd', which is 'dataset'
var filtered = data.filter(function(e) {
return e.dataset === d;
})[0];
//get the year in the 'filtered' object using 'filtered.year'
return d + " " + filtered.year
})
);
以下是您更改的代码:
var margin = {
top: 30,
right: 10,
bottom: 50,
left: 50
},
width = 500,
height = 300;
var data = [{
value: -10,
dataset: "Corvette",
year: "1975"
}, {
value: 40,
dataset: "Lumina",
year: "1975"
}, {
value: -10,
dataset: "Gran Torino",
year: "1971"
}, {
value: -50,
dataset: "Pomtiac GTO",
year: "1964"
}, {
value: 30,
dataset: "Mustang",
year: "19655"
}, {
value: -20,
dataset: "Camaro",
year: "1973"
}, {
value: -70,
dataset: "Firebird",
year: "1975"
}];
// Add svg to
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 + ')');
// set the ranges
var y = d3.scaleBand()
.range([height, 0])
.padding(0.1);
var x = d3.scaleLinear()
.range([0, width]);
// Scale the range of the data in the domains
x.domain(d3.extent(data, function(d) {
return d.value;
}));
y.domain(data.map(function(d) {
return d.dataset;
}));
// append the rectangles for the bar chart
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", function(d) {
return "bar bar--" + (d.value < 0 ? "negative" : "positive");
})
.attr("x", function(d) {
return x(Math.min(0, d.value));
})
.attr("y", function(d) {
return y(d.dataset);
})
.attr("width", function(d) {
return Math.abs(x(d.value) - x(0));
})
.attr("height", y.bandwidth());
// add the x Axis
svg.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
// add the y Axis
let yAxisGroup = svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + x(0) + ",0)")
.call(d3.axisRight(y)
.tickFormat(function(d) {
var filtered = data.filter(function(e) {
return e.dataset === d;
})[0];
return d + " " + filtered.year
})
);
yAxisGroup.selectAll('.tick')
.data(data)
.select('text')
.attr('x', function(d, i) {
return d.value < 0 ? 9 : -9
})
.style('text-anchor', function(d, i) {
return d.value < 0 ? 'start' : 'end'
})
<style> .bar--positive {
fill: steelblue;
}
.bar--negative {
fill: darkorange;
}
</style>
<script src="https://d3js.org/d3.v4.min.js"></script>