Warning: file_get_contents(/data/phpspider/zhask/data//catemap/9/javascript/361.json): failed to open stream: No such file or directory in /data/phpspider/zhask/libs/function.php on line 167

Warning: Invalid argument supplied for foreach() in /data/phpspider/zhask/libs/tag.function.php on line 1116

Notice: Undefined index: in /data/phpspider/zhask/libs/function.php on line 180

Warning: array_chunk() expects parameter 1 to be array, null given in /data/phpspider/zhask/libs/function.php on line 181
Javascript 在D3.js中创建带有顺序刻度的标记为x轴的文本_Javascript_D3.js_Data Visualization - Fatal编程技术网

Javascript 在D3.js中创建带有顺序刻度的标记为x轴的文本

Javascript 在D3.js中创建带有顺序刻度的标记为x轴的文本,javascript,d3.js,data-visualization,Javascript,D3.js,Data Visualization,我正在d3.js中构建一个带有顺序x轴的条形图,其刻度应该用文本标记图表。有人能解释一下顺序比例是如何将x记号“映射”到相应的条位置的吗?特别是,如果我想用一系列文本值将x记号标签指定给条形图中相应的条形图 目前我正在将域设置为以下内容: var labels = ["a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t"]; var xScale = d3.scale.ordi

我正在d3.js中构建一个带有顺序x轴的条形图,其刻度应该用文本标记图表。有人能解释一下顺序比例是如何将x记号“映射”到相应的条位置的吗?特别是,如果我想用一系列文本值将x记号标签指定给条形图中相应的条形图

目前我正在将域设置为以下内容:

    var labels = ["a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t"];
    var xScale = d3.scale.ordinal()
                .domain(labels)
//Width and height
            var margin = {top: 20, right: 20, bottom: 30, left: 40};           
            var width = 600 - margin.left - margin.right;
            var height= 500-margin.top -margin.bottom;
            var w = width;
            var h = height;


            var dataset = [ 5, 10, 13, 19, 21, 25, 22, 18, 15, 13,
                            11, 12, 15, 20, 18, 17, 16, 18, 23, 25 ];

            var labels = ["a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t"];
            var xScale = d3.scale.ordinal()
            .domain(labels)
                            .rangeRoundBands([margin.left, width], 0.05);
            var xAxis = d3.svg.axis().scale(xScale).orient("bottom");


            var yScale = d3.scale.linear()
                            .domain([0, d3.max(dataset)])
                            .range([h,0]);


            //Create SVG element
            var svg = d3.select("body")
                        .append("svg")
                        .attr("width", w)
                        .attr("height", h);

            //Create bars
            svg.selectAll("rect")
               .data(dataset)
               .enter()
               .append("rect")
               .attr("x", function(d, i) {
                    return xScale(i);
               })
               .attr("y", function(d) {
                    return yScale(d);
               })
               .attr("width", xScale.rangeBand())
               .attr("height", function(d) {
                    return h - yScale(d);
               })
               .attr("fill", function(d) {
                    return "rgb(0, 0, 0)";
               });

            svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + 0 + ")")
      .call(xAxis);

            //Create labels
            svg.selectAll("text")
               .data(dataset)
               .enter()
               .append("text")
               .text(function(d) {
                    return d;
               })
               .attr("x", function(d, i) {
                    return xScale(i) + xScale.rangeBand() / 2;
               })
               .attr("y", function(d) {
                    return h - yScale(d) + 14;
               });
但是,值1-19显示在文本标签之后

如这把小提琴所示:

    var labels = ["a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t"];
    var xScale = d3.scale.ordinal()
                .domain(labels)
//Width and height
            var margin = {top: 20, right: 20, bottom: 30, left: 40};           
            var width = 600 - margin.left - margin.right;
            var height= 500-margin.top -margin.bottom;
            var w = width;
            var h = height;


            var dataset = [ 5, 10, 13, 19, 21, 25, 22, 18, 15, 13,
                            11, 12, 15, 20, 18, 17, 16, 18, 23, 25 ];

            var labels = ["a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t"];
            var xScale = d3.scale.ordinal()
            .domain(labels)
                            .rangeRoundBands([margin.left, width], 0.05);
            var xAxis = d3.svg.axis().scale(xScale).orient("bottom");


            var yScale = d3.scale.linear()
                            .domain([0, d3.max(dataset)])
                            .range([h,0]);


            //Create SVG element
            var svg = d3.select("body")
                        .append("svg")
                        .attr("width", w)
                        .attr("height", h);

            //Create bars
            svg.selectAll("rect")
               .data(dataset)
               .enter()
               .append("rect")
               .attr("x", function(d, i) {
                    return xScale(i);
               })
               .attr("y", function(d) {
                    return yScale(d);
               })
               .attr("width", xScale.rangeBand())
               .attr("height", function(d) {
                    return h - yScale(d);
               })
               .attr("fill", function(d) {
                    return "rgb(0, 0, 0)";
               });

            svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + 0 + ")")
      .call(xAxis);

            //Create labels
            svg.selectAll("text")
               .data(dataset)
               .enter()
               .append("text")
               .text(function(d) {
                    return d;
               })
               .attr("x", function(d, i) {
                    return xScale(i) + xScale.rangeBand() / 2;
               })
               .attr("y", function(d) {
                    return h - yScale(d) + 14;
               });

关联的Fiddle源代码:

    var labels = ["a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t"];
    var xScale = d3.scale.ordinal()
                .domain(labels)
//Width and height
            var margin = {top: 20, right: 20, bottom: 30, left: 40};           
            var width = 600 - margin.left - margin.right;
            var height= 500-margin.top -margin.bottom;
            var w = width;
            var h = height;


            var dataset = [ 5, 10, 13, 19, 21, 25, 22, 18, 15, 13,
                            11, 12, 15, 20, 18, 17, 16, 18, 23, 25 ];

            var labels = ["a","b","c","d","e","f","g","h","i","j","k","l","m","n","o","p","q","r","s","t"];
            var xScale = d3.scale.ordinal()
            .domain(labels)
                            .rangeRoundBands([margin.left, width], 0.05);
            var xAxis = d3.svg.axis().scale(xScale).orient("bottom");


            var yScale = d3.scale.linear()
                            .domain([0, d3.max(dataset)])
                            .range([h,0]);


            //Create SVG element
            var svg = d3.select("body")
                        .append("svg")
                        .attr("width", w)
                        .attr("height", h);

            //Create bars
            svg.selectAll("rect")
               .data(dataset)
               .enter()
               .append("rect")
               .attr("x", function(d, i) {
                    return xScale(i);
               })
               .attr("y", function(d) {
                    return yScale(d);
               })
               .attr("width", xScale.rangeBand())
               .attr("height", function(d) {
                    return h - yScale(d);
               })
               .attr("fill", function(d) {
                    return "rgb(0, 0, 0)";
               });

            svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + 0 + ")")
      .call(xAxis);

            //Create labels
            svg.selectAll("text")
               .data(dataset)
               .enter()
               .append("text")
               .text(function(d) {
                    return d;
               })
               .attr("x", function(d, i) {
                    return xScale(i) + xScale.rangeBand() / 2;
               })
               .attr("y", function(d) {
                    return h - yScale(d) + 14;
               });

可以使用
d3.svg.axis().tickValues(*array*)
显式设置序号轴的刻度值

但这是一种奇怪的方法,因为它危险地分离了键和值,这意味着您必须小心手动对齐刻度,并确保数据正确对应。它有助于将键和值分组到单个对象中,然后使用以下格式:

       axis.domain(array.map(function (d) { return d.value; }))
来映射您的axis域


我已经修改了您的数据,并在我认为更重要的地方进行了修改。(还请注意,我做了一些其他更改只是为了好玩,即改进了边距并清理了轴对齐等)

那么,将值-标签对合并到d3中的单个对象中,而不是将其标签链接到对象,并将值链接到对象是什么呢。我很感激你的回答,但我想多做一点,确切地知道幕后发生了什么,所以我不仅仅是巧合地编程。这是因为你用一组数据显式地定义域,然后在执行
.attr(“x”,function(d,I){return xScale(I);})
时将另一组数据传递给它。API参考中的“如果显式设置了域,则传递到scale的值将被添加到该域中未显式部分的值。”为此,您可能会注意到,在原始代码中,在RECT之前调用x轴只会导致调用显式数组。