更改D3分組圖中的x軸（垂直）刻度值的值

Question

我有一個x3的D3分組條形圖，它使用我的x0刻度形成了x軸，該刻度具有域作為數據值。 由於域具有數據值，因此我的勾選文本也是相同的數據值。 我想將刻度值更改為數據名稱，以使刻度不變，因為名稱可以相同，但數據值是唯一的。 請幫助我更改刻度值。

例如，名稱：“ New Jersey”，值：“ [Calendar]＆NewJersey”，我希望使用該值來制作我的軸，但刻度文本應為name。

http://jsfiddle.net/pragyan88/681q7umb/6

 var data = { chartTitle: "PopulationByState", xAxisLabel: "State", yAxisLabel: "Population", series: [{ name: "< 5 Years", longName: "Age less than 5 Years", value: "i", data: [2704659, 2027307, 1208495, 894368, 3157759] }, { name: "5-13 Years", longName: "Age between 5 to 13 years", value: "i", data: [4704659, 6027307, 808495, 1094368, 2157759] }, { name: "14-20 Years", longName: "Age between 14 to 20 years", value: "i", data: [1104659, 8027307, 1008495, 394368, 1157759] }, { name: "21-40 Years", longName: "Age between 21 to 40 years", value: "i", data: [1404659, 2027307, 4208495, 6027307, 5157759] }, { name: "41-65 Years", longName: "Age between 41 to 65 years", value: "i", data: [2404659, 3027307, 7208495, 8027307, 6157759] }, { name: ">65 Years", longName: "Age greater than 65 years", value: "i", data: [1404659, 9027307, 4208495, 10027307, 5157759] }], categories: [{ name: 'CA', longName: 'California', value: '[Calendar]&California' }, { name: "TX", longName: 'Texas', value: '[Calendar]&Texas' }, { name: 'NY', longName: 'New York', value: '[Calendar]&NewYork' }, { name: "FL", longName: 'Florida', value: '[Calendar]&Florida' }, { name: "NJ", longName: 'New Jersey', value: '[Calendar]&NewJersey' }] } var format = d3.format('.2s'); var returnArray = []; var canvasWidth = document.getElementById("chart").offsetWidth, canvasHeight = document.getElementById("chart").offsetHeight; var margin = { top: 80, right: 10, bottom: 60, left: 30 }, width = canvasWidth - margin.left - margin.right, height = canvasHeight - margin.top - margin.bottom; var x0 = d3.scale.ordinal() .rangeRoundBands([0, width], 0.1, 0.2); var x1 = d3.scale.ordinal(); var y = d3.scale.linear() .range([height, 0]); var color = ['rgb(218,165,32)', 'rgb(41,95,72)', 'rgb(82,82,20)', 'rgb(43,33,6)', 'rgb(96,35,32)', 'rgb(54,69,79)']; var xAxis = d3.svg.axis() .scale(x0) .orient("bottom") .tickSize(-height, 0, 0); var yAxis = d3.svg.axis() .scale(y) .orient("left") .tickFormat(d3.format(".2s")) .tickSize(-width, 0, 0); var tip = d3.tip() .attr('class', 'd3-tip') .offset([-10, 0]) .html(function(d) { return "data: <span style='color:green;'>" + d.data[d.index] + "</span><br/>" + "series: <span style='color:yellow;'>" + d.seriesLongName + "</span><br/>" + "category: <span style='color:red;'>" + data.categories[d.index].longName + "</span>"; }); var legendTip = d3.tip() .attr('class', 'd3-tip') .offset([-10, 0]) .html(function(d) { return "<span style='color:green;'>" + d.longName + "</span>"; }); var svg = d3.select("#chart").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 + ")"); for (var i = 0; i < data.series.length; i++) { var rgbColor = d3.rgb(color[i]); var rgbLighterColor = d3.rgb(color[i]).brighter(4); var id = 'gradient' + i; var gradient = svg.append("svg:defs") .append("svg:linearGradient") .attr('id', id) .attr("x1", "0%") .attr("y1", "0%") .attr("x2", "100%") .attr("y2", "100%"); gradient .append("stop") .attr("offset", "0%") .attr("stop-color", rgbLighterColor) gradient .append("stop") .attr("offset", "100%") .attr("stop-color", rgbColor) } svg.call(tip); svg.call(legendTip); x0.domain(data.categories.map(function(d) { return d.name; })); x1.domain(data.series.map(function(d) { return d.name })).rangeRoundBands([0, x0.rangeBand()]); y.domain([0, d3.max(data.series, function(d) { return d3.max(d.data); })]); 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("y", 15) .attr("x", -15) .style("text-anchor", "end") .attr("transform", "rotate(-90)") .attr('class', 'chartLabel') .text(data.yAxisLabel) var state = svg.selectAll(".state") .data(data.categories) .enter().append("g") .attr("class", "state") .attr("transform", function(d) { return "translate(" + x0(d.name) + ",0)"; }); var bars = state.selectAll("rect") .data(function(d, i) { var rArray = []; for (var x = 0; x < data.series.length; x++) { rArray.push({ name: data.series[x].name, data: data.series[x].data, index: i, seriesLongName: data.series[x].longName }); } return rArray; }) .enter().append("rect") .on('click', function(d) { if (d3.event.ctrlKey) { if (d3.select(this).style('opacity') == 1) { returnArray.push({ categoryName: data.categories[d.index].name, seriesName: d.name, data: d.data[d.index] }); d3.select(this).style('opacity', 0.5); } else { returnArray.forEach(function(obj, i) { if (obj.categoryName == data.categories[d.index].name && obj.seriesName == d.name && obj.data == d.data[d.index]) returnArray.splice(i, 1); }); d3.select(this).style('opacity', 1); } } else { var rect = svg.selectAll('rect'); rect.forEach(function(rec) { rec.forEach(function(r) { returnArray = []; r.style.opacity = 1; }) }); if (d3.select(this).style('opacity') == 1) { d3.select(this).style('opacity', 0.5); returnArray.push({ categoryName: data.categories[d.index].name, seriesName: d.name, data: d.data[d.index] }); } } }) .on('contextmenu', function(d) { d3.event.preventDefault(); alert(d.name); }) .on('mouseover', tip.show) .on('mouseout', tip.hide) .attr('class', 'bar') .attr("width", x1.rangeBand()) .attr("x", function(d) { return x1(d.name); }) .attr("y", height) .attr("height", 0) .style("fill", function(d, i) { return "url(#gradient" + i + ")" }); bars.transition() .attr('y', function(d) { return y(d.data[d.index]); }) .attr('height', function(d) { return height - y(d.data[d.index]); }) .delay(function(d, i) { return i * 250; }).ease('elastic'); svg.append("text") .attr("transform", "translate(" + (width / 2) + " ," + (height + margin.bottom / 2) + ")") .style("text-anchor", "middle") .attr('class', 'chartLabel') .text(data.xAxisLabel); svg.append("text") .attr("transform", "translate(" + (width / 2) + " ," + "0)") .style("text-anchor", "middle") .attr('class', 'chartTitle') .text(data.chartTitle); d3.select("svg").on('contextmenu', function() { var d3_target = d3.select(d3.event.target); if (!d3_target.classed("bar")) { d3.event.preventDefault(); alert('I m the body!!') } }); d3.select("svg").on('click', function() { var d3_target = d3.select(d3.event.target); if (!(d3_target.classed("bar") || d3_target.classed("legend"))) { returnArray = []; var rect = svg.selectAll('rect'); rect.forEach(function(rec) { rec.forEach(function(r) { r.style.opacity = 1; }) }); } }); 

 body { font: 10px sans-serif; } .axis path, .axis line { fill: none; stroke: #000; shape-rendering: crispEdges; } .bar { fill: steelblue; } .x.axis path { display: none; } 

 <section class="container"> <div class='watermark'> <div id="chart" style="width:300px;height:400px;"></div> </div> </section> <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script> 

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提前致謝。

Answer 1

根據相關輸入數據的json結構，對x軸使用以下行會有所幫助：

 svg.append("g") .attr("class", "x axis") .attr("id", "xaxis") .attr("transform", "translate(0," + height + ")") .call(xAxis) .selectAll('text') .text(function (d,i) { return data.categories[i].name; })