d3错误在x轴折线图上显示日期时间

d3错误在x轴折线图上显示日期时间

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d3错误在x轴折线图上显示日期时间

本文介绍了d3错误在x轴折线图上显示日期时间的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我正在使用d3.js实现多线系列图表，并且尝试从输入的数据中绘制dateTime时遇到指向我的x轴的错误.错误:属性d:预期数字，"MNaN，376.88020650…."

这是我的职责

  var数据= [{"Brand":"Toyota"，计数":1800，"Time":"2017-04-02 16"}，{"Brand":"Toyota"，计数":1172，"Time":"2017-04-02 17"}，{"Brand":"Toyota"，计数":2000，"Time":"2017-04-02 18"}，{品牌":本田"，计数":8765，"Time":"2017-04-02 16"}，{品牌":本田"，计数":3445，"Time":"2017-04-02 17"}，{品牌":本田"，计数":1232，时间":"2017-04-02 18"}]var dataGroup = d3.nest()//按Brand将数据分组的d3方法.key(function(d){return d.Brand;}).entries(data);console.log(JSON.stringify(dataGroup));//var color = d3.scale.category10();var vis = d3.select(#visualisation")，宽度= 1000，身高= 500，保证金= {最高:50右:20底部:50，左:50}，xScale = d3.scaleLinear().range([MARGINS.left，WIDTH-MARGINS.right]).domain([d3.min(data，function(d){返回d.Time;})，d3.max(数据，函数(d){返回d.Time;})])，yScale = d3.scaleLinear().range([HEIGHT-MARGINS.top，MARGINS.bottom]).domain([d3.min(data，function(d){返回d.Count;})，d3.max(数据，函数(d){返回d.Count;})])，xAxis = d3.axisBottom().scale(xScale)，yAxis = d3.axisLeft().scale(yScale)vis.append("svg:g").attr("class"，"x轴").attr("transform"，"translate(0，" +(HEIGHT-MARGINS.bottom)+)").call(xAxis);vis.append("svg:g").attr("class"，"y轴").attr("transform"，"translate(" +(MARGINS.left)+，0)").call(yAxis);var lineGen = d3.line().x(function(d){返回xScale(d.Time);}).y(function(d){返回yScale(d.Count);}).curve(d3.curveBasis);dataGroup.forEach(function(d，i){//遍历dataGroup并为每个品牌创建折线图vis.append('svg:path').attr('d'，lineGen(d.values)).attr('stroke'，function(d，j){返回"hsl("+ Math.random()* 360 +"，100％，50％)；//图表上每个品牌线的颜色随机}).attr('stroke-width'，2).attr('id'，'line _'+ d.key).attr('fill'，'none');lSpace = WIDTH/dataGroup.length;//根据品牌数量定义图例空间vis.append("text").attr("x"，(lSpace/2)+ i * lSpace).attr("y"，HEIGHT).style(填充"，黑色").attr("class"，"legend").on('click'，function(){var active = d.active吗?假:真;var opacity =活动?0:1;d3.select(#line_" + d.key).style("opacity"，opacity);d.active =活动；}).text(d.key);});

我的日期采用yyyy-mm-dd HH格式，例如，我要完成的操作是

  • 时间":"2017-04-02 16"在x轴上转换为"4月2日"，并且仅将小时(HH)显示为工具提示...等等

这是jsfiddle链接 https://jsfiddle.net/rsov2s2s/任何帮助表示赞赏.

解决方案

在您的数据对象中， Time 只是一个字符串.因此，您必须解析为实际日期:

  data.forEach(function(d){d.Time = d3.timeParse(％Y-％m-％d％H")(d.Time)});

在此函数中， d3.timeParse 使用％Y-％m-％d％H" 作为说明符，它与字符串的结构匹配./p>

之后，不要忘记将xScale从 scaleLinear 更改为 scaleTime .

这是您的代码，仅包含那些更改:

  var data = [{"Brand":"Toyota"，计数":1800，时间":"2017-04-02 16"}，{"Brand":"Toyota"，计数":1172，时间":"2017-04-02 17"}，{"Brand":"Toyota"，计数":2000，时间":"2017-04-02 18"}，{品牌":本田"，计数":8765，时间":"2017-04-02 16"}，{品牌":本田"，计数":3445，时间":"2017-04-02 17"}，{品牌":本田"，计数":1232，时间":"2017-04-02 18"}];data.forEach(function(d){d.Time = d3.timeParse(％Y-％m-％d％H")(d.Time)});var dataGroup = d3.nest()//按Brand将数据分组的d3方法.key(function(d){返回d.Brand；}).entries(data);//var color = d3.scale.category10();var vis = d3.select(#visualisation")，宽度= 1000，身高= 500，保证金= {最高:50右:20底部:50，左:50}，xScale = d3.scaleTime().range([MARGINS.left，WIDTH-MARGINS.right]).domain([d3.min(data，function(d){返回d.Time;})，d3.max(数据，函数(d){返回d.Time;})])，yScale = d3.scaleLinear().range([HEIGHT-MARGINS.top，MARGINS.bottom]).domain([d3.min(data，function(d){返回d.Count;})，d3.max(数据，函数(d){返回d.Count;})])，xAxis = d3.axisBottom().scale(xScale)，yAxis = d3.axisLeft().scale(yScale)vis.append("svg:g").attr("class"，"x轴").attr("transform"，"translate(0，" +(HEIGHT-MARGINS.bottom)+)").call(xAxis);vis.append("svg:g").attr("class"，"y轴").attr("transform"，"translate(" +(MARGINS.left)+，0)").call(yAxis);var lineGen = d3.line().x(function(d){返回xScale(d.Time);}).y(function(d){返回yScale(d.Count);}).curve(d3.curveBasis);dataGroup.forEach(function(d，i){//遍历dataGroup并为每个品牌创建折线图vis.append('svg:path').attr('d'，lineGen(d.values)).attr('stroke'，function(d，j){返回"hsl("+ Math.random()* 360 +"，100％，50％)；//图表上每个品牌线的颜色随机}).attr('stroke-width'，2).attr('id'，'line_'+ d.key).attr('fill'，'none');lSpace = WIDTH/dataGroup.length;//根据品牌数量定义图例空间vis.append("text").attr("x"，(lSpace/2)+ i * lSpace).attr("y"，HEIGHT).style(填充"，黑色").attr("class"，"legend").on('click'，function(){var active = d.active吗?假:真;var opacity =活动?0:1;d3.select(#line_" + d.key).style("opacity"，opacity);d.active =活动；}).text(d.key);});  
  .axis路径{填充:无；中风:#777；形状渲染:crissEdges；}.axis文字{字体家族:Lato;font-size:13px;}.传奇 {font-size:14px;font-weight:粗体;光标:指针；  
 < title> D3测试</title>< script src ="https://d3js.org/d3.v4.js"></script><身体>< svg id ="visualisation" width ="1000" height ="600"></svg>< script src ="InitChart.js"></script></body>

I am implementing a multi-line series chart using d3.js and I am getting an error pointing to my x-axis when trying to plot my dateTime from the data coming in. "Error: attribute d: Expected number, "MNaN,376.88020650…"."

Here is my function

var data =   [{
"Brand": "Toyota",
"Count": 1800,
"Time": "2017-04-02 16"},
{
"Brand": "Toyota",
"Count": 1172,
"Time": "2017-04-02 17"},
{
"Brand": "Toyota",
"Count": 2000,
"Time": "2017-04-02 18"},
{
"Brand": "Honda",
"Count": 8765,
"Time": "2017-04-02 16"},
{
"Brand": "Honda",
"Count": 3445,
"Time": "2017-04-02 17"},
{
"Brand": "Honda",
"Count": 1232,
"Time": "2017-04-02 18"}
]

 var dataGroup = d3.nest()    //d3 method that groups data by Brand
                    .key(function(d) {return d.Brand;})
                    .entries(data);
                console.log(JSON.stringify(dataGroup));

//var color = d3.scale.category10();
                var vis = d3.select("#visualisation"),
                    WIDTH = 1000,
                    HEIGHT = 500,
                    MARGINS = {
                        top: 50,
                        right: 20,
                        bottom: 50,
                        left: 50
                    },
        xScale = d3.scaleLinear().range([MARGINS.left, WIDTH - MARGINS.right]).domain([d3.min(data, function(d) {   //set up x-axis based on data
                        return d.Time;
                    }), d3.max(data, function(d) {
                        return d.Time;
                    })]),

        yScale = d3.scaleLinear().range([HEIGHT - MARGINS.top, MARGINS.bottom]).domain([d3.min(data, function(d) {    //set up y-axis based on data
                        return d.Count;
                    }), d3.max(data, function(d) {
                        return d.Count;
                    })]),

                    xAxis = d3.axisBottom()
                        .scale(xScale),
                    yAxis = d3.axisLeft()
                    .scale(yScale)

                    vis.append("svg:g")
                    .attr("class", "x axis")
                    .attr("transform", "translate(0," + (HEIGHT - MARGINS.bottom) + ")")
                    .call(xAxis);

                vis.append("svg:g")
                    .attr("class", "y axis")
                    .attr("transform", "translate(" + (MARGINS.left) + ",0)")
                    .call(yAxis);

                var lineGen = d3.line()
                    .x(function(d) {
                        return xScale(d.Time);
                    })
                    .y(function(d) {
                        return yScale(d.Count);
                    })
                    .curve(d3.curveBasis);

                dataGroup.forEach(function(d,i) {   //iterate over the dataGroup and create line graph for each brand
                    vis.append('svg:path')
                    .attr('d', lineGen(d.values))
                    .attr('stroke', function(d,j) {
                            return "hsl(" + Math.random() * 360 + ",100%,50%)";     //random color for each brand line on graph
                    })
                    .attr('stroke-width', 2)
                    .attr('id', 'line_'+d.key)
                    .attr('fill', 'none');

                    lSpace = WIDTH/dataGroup.length;   //define the legend space based on number of brands
                    vis.append("text")
                        .attr("x", (lSpace/2)+i*lSpace)
                        .attr("y", HEIGHT)
                        .style("fill", "black")
                        .attr("class","legend")
                        .on('click',function(){
                            var active   = d.active ? false : true;
                            var opacity = active ? 0 : 1;
                            d3.select("#line_" + d.key).style("opacity", opacity);
                            d.active = active;
                        })
                        .text(d.key);
                });

My dates are in yyyy-mm-dd HH format and what I am trying to accomplish is this for example:

  • "Time": "2017-04-02 16" converted to 'April 02' on the x axis and have the hour (HH) just displayed as a tool tip...etc

Here is a jsfiddle link https://jsfiddle.net/rsov2s2s/Any help is appreciated.

解决方案

In your data objects, Time is only a string. Thus, you`ll have to parse it into an actual date:

data.forEach(function(d){
    d.Time = d3.timeParse("%Y-%m-%d %H")(d.Time)
});

In this function, d3.timeParse uses "%Y-%m-%d %H" as a specifier, which matches the structure of your strings.

After that, don't forget to change the xScale from scaleLinear to scaleTime.

Here is your code with those changes only:

var data = [{
  "Brand": "Toyota",
  "Count": 1800,
  "Time": "2017-04-02 16"
}, {
  "Brand": "Toyota",
  "Count": 1172,
  "Time": "2017-04-02 17"
}, {
  "Brand": "Toyota",
  "Count": 2000,
  "Time": "2017-04-02 18"
}, {
  "Brand": "Honda",
  "Count": 8765,
  "Time": "2017-04-02 16"
}, {
  "Brand": "Honda",
  "Count": 3445,
  "Time": "2017-04-02 17"
}, {
  "Brand": "Honda",
  "Count": 1232,
  "Time": "2017-04-02 18"
}];

data.forEach(function(d) {
  d.Time = d3.timeParse("%Y-%m-%d %H")(d.Time)
});

var dataGroup = d3.nest() //d3 method that groups data by Brand
  .key(function(d) {
    return d.Brand;
  })
  .entries(data);

//var color = d3.scale.category10();
var vis = d3.select("#visualisation"),
  WIDTH = 1000,
  HEIGHT = 500,
  MARGINS = {
    top: 50,
    right: 20,
    bottom: 50,
    left: 50
  },
  xScale = d3.scaleTime().range([MARGINS.left, WIDTH - MARGINS.right]).domain([d3.min(data, function(d) { //set up x-axis based on data
    return d.Time;
  }), d3.max(data, function(d) {
    return d.Time;
  })]),

  yScale = d3.scaleLinear().range([HEIGHT - MARGINS.top, MARGINS.bottom]).domain([d3.min(data, function(d) { //set up y-axis based on data
    return d.Count;
  }), d3.max(data, function(d) {
    return d.Count;
  })]),

  xAxis = d3.axisBottom()
  .scale(xScale),
  yAxis = d3.axisLeft()
  .scale(yScale)

vis.append("svg:g")
  .attr("class", "x axis")
  .attr("transform", "translate(0," + (HEIGHT - MARGINS.bottom) + ")")
  .call(xAxis);

vis.append("svg:g")
  .attr("class", "y axis")
  .attr("transform", "translate(" + (MARGINS.left) + ",0)")
  .call(yAxis);

var lineGen = d3.line()
  .x(function(d) {
    return xScale(d.Time);
  })
  .y(function(d) {
    return yScale(d.Count);
  })
  .curve(d3.curveBasis);

dataGroup.forEach(function(d, i) { //iterate over the dataGroup and create line graph for each brand
  vis.append('svg:path')
    .attr('d', lineGen(d.values))
    .attr('stroke', function(d, j) {
      return "hsl(" + Math.random() * 360 + ",100%,50%)"; //random color for each brand line on graph
    })
    .attr('stroke-width', 2)
    .attr('id', 'line_' + d.key)
    .attr('fill', 'none');

  lSpace = WIDTH / dataGroup.length; //define the legend space based on number of brands
  vis.append("text")
    .attr("x", (lSpace / 2) + i * lSpace)
    .attr("y", HEIGHT)
    .style("fill", "black")
    .attr("class", "legend")
    .on('click', function() {
      var active = d.active ? false : true;
      var opacity = active ? 0 : 1;
      d3.select("#line_" + d.key).style("opacity", opacity);
      d.active = active;
    })
    .text(d.key);
});
   .axis path {
   fill: none;
   stroke: #777;
   shape-rendering: crispEdges;
 }

 .axis text {
   font-family: Lato;
   font-size: 13px;
 }

 .legend {
   font-size: 14px;
   font-weight: bold;
   cursor: pointer;
<title>D3 Test</title>
<script src="https://d3js.org/d3.v4.js"></script>

<body>
  <svg id="visualisation" width="1000" height="600"></svg>
  <script src="InitChart.js"></script>
</body>

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08-24 18:21
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