最后的刻度标签未出现在D3折线图中

时间：2018-06-26 15:21:52

标签： javascript d3.js data-visualization linechart

我正在尝试根据Mike Bostock的示例（https://bl.ocks.org/mbostock/3884955）编写通用的折线图函数。 我遇到了一个问题，即我的每月图形x轴上的最后一个刻度标签未显示。最后一个刻度在“每周”图的x轴上看起来不错。

JS小提琴链接： http://jsfiddle.net/Q5Jag/11879/

我怀疑这里的问题可能是由于为x轴指定的范围，由于某种原因它忽略了最后一个值。但是我不确定这到底是怎么回事。有人可以帮我调试吗？

这是我的代码：

  function renderMultiLineChart(datafile, chartDiv, xAxisLabel, yAxisLabel, graphCadence){

var margin = {top: 20, right: 60, bottom: 80, left: 60},
    width = 760 - margin.left - margin.right,
    height = 400 - margin.top - margin.bottom;

var parseDate = d3.timeParse("%m/%d/%y");

var x = d3.scaleUtc()
    .range([0, width]);

var y = d3.scaleLinear()
    .range([height, 0]);

var color = d3.scaleOrdinal(d3.schemeCategory10);

//var xAxis = d3.axisBottom(x).tickFormat(function(d){ return d.x;});

switch(graphCadence) {
    case "Daily":
        var xAxis  = d3.axisBottom(x).ticks(d3.timeDay.every(1)).tickFormat(d3.timeFormat("%m/%d"))
        break;
    case "Weekly":
        var xAxis  = d3.axisBottom(x).ticks(d3.timeSaturday.every(1)).tickFormat(d3.timeFormat("%m/%d"))
        break;
    case "Monthly":
        //var xAxis  = d3.axisBottom(x).ticks(d3.timeDay.every(1))    
        var xAxis  = d3.axisBottom(x).ticks(d3.timeMonth.every(1)).tickFormat(d3.utcFormat("%m/%d"))
        break;
}

var yAxis = d3.axisLeft(y);

var line = d3.line()
    .x(function(d) { return x(d.date); })
    .y(function(d) { return y(d.count); })

var div = d3.select(chartDiv).append("div")
    .attr("class", "tooltip")
    .style("opacity", 0);

var svg = d3.select(chartDiv).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 + ")");
//https://pharos-rest-service-iad.iad.proxy.amazon.com/s3/tool.csv
d3.csv(datafile, function(error, data) {
  color.domain(d3.keys(data[0]).filter(function(key) { return key !== "date"; }));

  data.forEach(function(d) {
    //console.log(d);
    d.date = parseDate(d.date);
  });

  var datapoints = color.domain().map(function(name) {
    return {
      name: name,
      values: data.map(function(d) {
        return {date: d.date, count: +d[name]};
      })
    };
  });

  console.log(data);

  x.domain(d3.extent(data, function(d) { return d.date; }));

  y.domain([
    d3.min(datapoints, function(c) { return d3.min(c.values, function(v) { return v.count; }); }),
    d3.max(datapoints, function(c) { return d3.max(c.values, function(v) { return v.count; }); })
  ]);

  svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis)
      .selectAll("text")  
      .attr("dx", "-.8em")
        .attr("dy", ".15em")
        .style("text-anchor", "end")
        .attr("transform", "rotate(-45)");

  // text label for the x axis
  svg.append("text")             
      .attr("transform",
            "translate(" + (width/2) + " ," + 
                           (height + margin.top + 30) + ")")
      .style("text-anchor", "middle")
      .text(xAxisLabel);

  svg.append("g")
      .attr("class", "y axis")
      .call(yAxis)
    .append("text")
      .attr("transform", "rotate(-90)")
      .attr("y", 6)
      .attr("dy", ".71em")
      .style("text-anchor", "end")
      .style("fill", "black")    // set the line colour
      .text(yAxisLabel);

  var datapoint = svg.selectAll(".datapoint")
      .data(datapoints)
    .enter().append("g")
      .attr("class", "datapoint");

  datapoint.append("path")
      .attr("class", "line")
      .attr("d", function(d) { return line(d.values); })
      .style("stroke", function(d) { return color(d.name); });
      
  j = -1;
  datapoint.selectAll("circle")
    .data(function(d){return d.values})
    .enter()
    .append("circle")
    .attr("r", 3)
    .attr("cx", function(d,i) { return x(d.date); })
    .attr("cy", function(d) { return y(d.count); })
    .on("mouseover", function(d) {
         div.transition()
           .duration(200)
           .style("opacity", 1);
         div.html("<b>"+d.count+"</b>")
           .style("left", (d3.event.pageX) + "px")
           .style("top", (d3.event.pageY - 28) + "px");
         })
       .on("mouseout", function(d) {
         div.transition()
           .duration(500)
           .style("opacity", 0);
         })
    .style("fill", function(d,i) { if (i == 0) { j++ }; return color(datapoints[j].name); });

var legendRectSize = 8;
var legendSpacing = 80;

var legendHolder = svg.append('g')
  // translate the holder to the right side of the graph
  .attr('transform', "translate(" + (100+margin.left+margin.right) + ","+(height+margin.bottom-20)+")")

var legend = legendHolder.selectAll('.legend')
  .data(color.domain())
  .enter()
  .append('g')
  .attr('class', 'legend')
  .attr("transform", function (d, i) {
             if (i === 0) {
                dataL = legendRectSize + legendSpacing
                return "translate(0,0)"
            } else { 
             var newdataL = dataL
             dataL +=  legendRectSize + legendSpacing
             return "translate(" + (newdataL) + ",0)"
            }
        });

legend.append('rect')
  .attr('width', legendRectSize)
  .attr('height', legendRectSize)
  .style('fill', color)
  .style('stroke', color);

legend.append('text')
  .attr('x', legendRectSize + 5)
  .attr('y', legendRectSize)
  .text(function(d) { return d; });


});
}

renderMultiLineChart("https://gist.githubusercontent.com/techyogii/323024b01c1eb4d0c07637e183e1e6d7/raw/422ed207cc2c38426fa726795ecd963f153135dd/app_usage","div#multiChartMonthly","Snapshot Date","Metric Count","Monthly")

renderMultiLineChart("https://gist.githubusercontent.com/techyogii/8ed38bdb3b8e44194ee8570ef9cc5b75/raw/d0c85aaf9eaa7e8819fd6e6e210885b0cfa6f47d/app_usage_weekly","div#multiChartWeekly","Snapshot Date","Metric Count","Weekly")
body {
  font: 10px sans-serif;
}

.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

.x.axis path {
  /*display: none;*/
}

.line {
  fill: none;
  stroke: steelblue;
  stroke-width: 1.5px;
}

div.tooltip {
  position: absolute;
  text-align: center;
  /*width: 60px;
  height: 28px;*/
  padding: 4px;
  font: 14px sans-serif;
  background: lightsteelblue;
  border: 0px;
  border-radius: 10px;
  pointer-events: none;
}


  .legend {
    font-size: 12px;
  }
  rect {
    stroke-width: 2;
  }
<script src="https://d3js.org/d3.v4.min.js"></script>
<div id="multiChartWeekly">
<div id="multiChartMonthly">

谢谢， Yogesh

1 个答案:

答案 0 :(得分：0)

我认为问题在于d3.timeMonth的工作方式与数据格式之间的不一致。您会看到d3.timeMonth在每个月的第一天标记，而数据则在每个月的最后一天分组。因此，当您调用x.domain(d3.extent(data, function(d) { return d.date; }));时，最后一个数据点的日期小于下一个标签的日期。

一个可能的解决方案是更改解析功能，将所有月份的日期提前一天，以使其与月份的第一天对齐。见下文。

要删除任何在月中结束的日期，您可以在分析日期后过滤数据集以清理数据。

function renderMultiLineChart(datafile, chartDiv, xAxisLabel, yAxisLabel, graphCadence){


var margin = {top: 20, right: 60, bottom: 80, left: 60},
    width = 760 - margin.left - margin.right,
    height = 400 - margin.top - margin.bottom;

var parseDate = function(dateString){
  if(graphCadence == "Monthly"){
    var date = new Date(dateString);
    date.setDate(date.getDate()+1);
    return date;
  }
  return d3.timeParse("%m/%d/%y")(dateString);
}

var x = d3.scaleUtc()
    .range([0, width]);

var y = d3.scaleLinear()
    .range([height, 0]);

var color = d3.scaleOrdinal(d3.schemeCategory10);

//var xAxis = d3.axisBottom(x).tickFormat(function(d){ return d.x;});

switch(graphCadence) {
    case "Daily":
        var xAxis  = d3.axisBottom(x).ticks(d3.timeDay.every(1)).tickFormat(d3.timeFormat("%m/%d"))
        break;
    case "Weekly":
        var xAxis  = d3.axisBottom(x).ticks(d3.timeSaturday.every(1)).tickFormat(d3.timeFormat("%m/%d"))
        break;
    case "Monthly":
        //var xAxis  = d3.axisBottom(x).ticks(d3.timeDay.every(1))    
        var xAxis  = d3.axisBottom(x).ticks(d3.timeMonth.every(1)).tickFormat(d3.utcFormat("%m/%d"))
        break;
}

var yAxis = d3.axisLeft(y);

var line = d3.line()
    .x(function(d) { return x(d.date); })
    .y(function(d) { return y(d.count); })

var div = d3.select(chartDiv).append("div")
    .attr("class", "tooltip")
    .style("opacity", 0);

var svg = d3.select(chartDiv).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 + ")");
//https://pharos-rest-service-iad.iad.proxy.amazon.com/s3/tool.csv
d3.csv(datafile, function(error, data) {
  color.domain(d3.keys(data[0]).filter(function(key) { return key !== "date"; }));

  data.forEach(function(d) {
    d.date = parseDate(d.date);
  });
  if(graphCadence == "Monthly"){
    data = data.filter(function(d){
      return d.date.getDate() == 1
    });
  }

  var datapoints = color.domain().map(function(name) {
    return {
      name: name,
      values: data.map(function(d) {
        return {date: d.date, count: +d[name]};
      })
    };
  });

  x.domain(d3.extent(data, function(d) { return d.date; }));
  
  y.domain([
    d3.min(datapoints, function(c) { return d3.min(c.values, function(v) { return v.count; }); }),
    d3.max(datapoints, function(c) { return d3.max(c.values, function(v) { return v.count; }); })
  ]);

  svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis)
      .selectAll("text")  
      .attr("dx", "-.8em")
        .attr("dy", ".15em")
        .style("text-anchor", "end")
        .attr("transform", "rotate(-45)");

  // text label for the x axis
  svg.append("text")             
      .attr("transform",
            "translate(" + (width/2) + " ," + 
                           (height + margin.top + 30) + ")")
      .style("text-anchor", "middle")
      .text(xAxisLabel);

  svg.append("g")
      .attr("class", "y axis")
      .call(yAxis)
    .append("text")
      .attr("transform", "rotate(-90)")
      .attr("y", 6)
      .attr("dy", ".71em")
      .style("text-anchor", "end")
      .style("fill", "black")    // set the line colour
      .text(yAxisLabel);

  var datapoint = svg.selectAll(".datapoint")
      .data(datapoints)
    .enter().append("g")
      .attr("class", "datapoint");

  datapoint.append("path")
      .attr("class", "line")
      .attr("d", function(d) { return line(d.values); })
      .style("stroke", function(d) { return color(d.name); });
      
  j = -1;
  datapoint.selectAll("circle")
    .data(function(d){return d.values})
    .enter()
    .append("circle")
    .attr("r", 3)
    .attr("cx", function(d,i) { return x(d.date); })
    .attr("cy", function(d) { return y(d.count); })
    .on("mouseover", function(d) {
         div.transition()
           .duration(200)
           .style("opacity", 1);
         div.html("<b>"+d.count+"</b>")
           .style("left", (d3.event.pageX) + "px")
           .style("top", (d3.event.pageY - 28) + "px");
         })
       .on("mouseout", function(d) {
         div.transition()
           .duration(500)
           .style("opacity", 0);
         })
    .style("fill", function(d,i) { if (i == 0) { j++ }; return color(datapoints[j].name); });

var legendRectSize = 8;
var legendSpacing = 80;

var legendHolder = svg.append('g')
  // translate the holder to the right side of the graph
  .attr('transform', "translate(" + (100+margin.left+margin.right) + ","+(height+margin.bottom-20)+")")

var legend = legendHolder.selectAll('.legend')
  .data(color.domain())
  .enter()
  .append('g')
  .attr('class', 'legend')
  .attr("transform", function (d, i) {
             if (i === 0) {
                dataL = legendRectSize + legendSpacing
                return "translate(0,0)"
            } else { 
             var newdataL = dataL
             dataL +=  legendRectSize + legendSpacing
             return "translate(" + (newdataL) + ",0)"
            }
        });

legend.append('rect')
  .attr('width', legendRectSize)
  .attr('height', legendRectSize)
  .style('fill', color)
  .style('stroke', color);

legend.append('text')
  .attr('x', legendRectSize + 5)
  .attr('y', legendRectSize)
  .text(function(d) { return d; });


});
}

renderMultiLineChart("https://gist.githubusercontent.com/JstnPwll/5a24137a36c9246cf065c58d7f5bb5a5/raw/ff986ee88338e99d10ab93035ffacd3ffe92fd4e/gistfile1.txt","div#multiChartMonthly","Snapshot Date","Metric Count","Monthly")

renderMultiLineChart("https://gist.githubusercontent.com/techyogii/8ed38bdb3b8e44194ee8570ef9cc5b75/raw/d0c85aaf9eaa7e8819fd6e6e210885b0cfa6f47d/app_usage_weekly","div#multiChartWeekly","Snapshot Date","Metric Count","Weekly")
body {
  font: 10px sans-serif;
}

.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

.x.axis path {
  /*display: none;*/
}

.line {
  fill: none;
  stroke: steelblue;
  stroke-width: 1.5px;
}

div.tooltip {
  position: absolute;
  text-align: center;
  /*width: 60px;
  height: 28px;*/
  padding: 4px;
  font: 14px sans-serif;
  background: lightsteelblue;
  border: 0px;
  border-radius: 10px;
  pointer-events: none;
}


  .legend {
    font-size: 12px;
  }
  rect {
    stroke-width: 2;
  }
<script src="https://d3js.org/d3.v4.min.js"></script>
<div id="multiChartWeekly">
<div id="multiChartMonthly">

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