d3.js在Y轴上追加数据集中的两个标签

时间:2017-09-08 00:19:45

标签: d3.js

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'})

这是小提琴: https://jsfiddle.net/Kavitha_2817/2e1xLxLc/

2 个答案:

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:

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>