Question

我尝试为时间序列数据指定d3 v4条形图的多个刻度和多个刻度标签，如下图所示：

基于this tutorial我有一个使用时间序列数据的条形图，但我无法获得显示我想要的方式的标记。例如，要显示每隔10个刻度以留出标签的空间。非常感谢任何帮助！

@prmko 谢谢你的回复。我已经看过你在评论中引用的两个帖子，但是使用带有tickValues的解决方案完全删除了x轴上的刻度，这使我得出结论我的情况有所不同。这就是我在代码片段中注释掉tickValues行的原因。我喜欢错，但也许我没有正确地阅读解决方案。你能提供一个实现这种方法的工作实例吗？谢谢你的帮助。

＆＃13;

var margin = {top: 20, right: 20, bottom: 70, left: 40},
    width = 600 - margin.left - margin.right,
    height = 200 - margin.top - margin.bottom;

// Parse the date / time
var	parseDate = d3.isoParse

var x = d3.scaleBand().rangeRound([0, width], .05).padding(0.1);

var y = d3.scaleLinear().range([height, 0]);

var xAxis = d3.axisBottom()
    .scale(x)
    .tickFormat(d3.timeFormat("%Y-%m-%d"))
    //.tickValues(x.domain().filter(function(d, i) {return !(i%4);}));
 
var yAxis = d3.axisLeft()
    .scale(y)
    .ticks(4);

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 + ")");

// d3.csv("bar-data.csv", function(error, data) {
var data = [
  {
    "date": "2016-03-02T00:00:00-05:00",
    "value": "53"
  },
  {
    "date": "2016-03-03T00:00:00-05:00",
    "value": "165"
  },
  {
    "date": "2016-03-04T00:00:00-05:00",
    "value": "269"
  },
  {
    "date": "2016-03-05T00:00:00-05:00",
    "value": "344"
  },
  {
    "date": "2016-03-06T00:00:00-05:00",
    "value": "376"
  },
  {
    "date": "2016-03-07T00:00:00-05:00",
    "value": "410"
  },
  {
    "date": "2016-03-08T00:00:00-05:00",
    "value": "421"
  },
  {
    "date": "2016-03-09T00:00:00-05:00",
    "value": "405"
  },
  {
    "date": "2016-03-10T00:00:00-05:00",
    "value": "376"
  },
  {
    "date": "2016-03-11T00:00:00-05:00",
    "value": "359"
  },
  {
    "date": "2016-03-12T00:00:00-05:00",
    "value": "392"
  },
  {
    "date": "2016-03-13T00:00:00-05:00",
    "value": "433"
  },
  {
    "date": "2016-03-14T00:00:00-05:00",
    "value": "455"
  },
  {
    "date": "2016-03-15T00:00:00-05:00",
    "value": "478"
  }
];
    data.forEach(function(d) {
        d.date = parseDate(d.date);
        d.value = +d.value;
    });

  x.domain(data.map(function(d) { return d.date; }));
  y.domain([0, d3.max(data, function(d) { return d.value; })]);

  svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis)
    .selectAll("text")
      .style("text-anchor", "end")
      .attr("dx", "-.8em")
      .attr("dy", "-.55em")
      .attr("transform", "rotate(-90)" );

  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")
      .text("Value");

  svg.selectAll("bar")
      .data(data)
    .enter().append("rect")
      .style("fill", "steelblue")
      .attr("x", function(d) { return x(d.date); })
      .attr("width", x.bandwidth())
      .attr("y", function(d) { return y(d.value); })
      .attr("height", function(d) { return height - y(d.value); });

// });

＆＃13;

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

＆＃13;

<div class="chart"></div>
<script src="https://d3js.org/d3.v4.min.js"  charset="utf-8"></script>

＆＃13;

Answer 1

我更新了您的代码段。指定.tickValues(x.domain().filter(function(d,i){ return !(i%10)}));时，必须设置x比例域，在原始代码段中调用它时尚未设置。我将轴创建移动到域设置后它可以工作。

＆＃13;

var margin = {top: 20, right: 20, bottom: 70, left: 40},
    width = 600 - margin.left - margin.right,
    height = 200 - margin.top - margin.bottom;

// Parse the date / time
var	parseDate = d3.isoParse

var x = d3.scaleBand().rangeRound([0, width], .05).padding(0.1);

var y = d3.scaleLinear().range([height, 0]);

var yAxis = d3.axisLeft()
    .scale(y)
    .ticks(4);

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 + ")");

// d3.csv("bar-data.csv", function(error, data) {
var data = [
  {
    "date": "2016-03-02T00:00:00-05:00",
    "value": "53"
  },
  {
    "date": "2016-03-03T00:00:00-05:00",
    "value": "165"
  },
  {
    "date": "2016-03-04T00:00:00-05:00",
    "value": "269"
  },
  {
    "date": "2016-03-05T00:00:00-05:00",
    "value": "344"
  },
  {
    "date": "2016-03-06T00:00:00-05:00",
    "value": "376"
  },
  {
    "date": "2016-03-07T00:00:00-05:00",
    "value": "410"
  },
  {
    "date": "2016-03-08T00:00:00-05:00",
    "value": "421"
  },
  {
    "date": "2016-03-09T00:00:00-05:00",
    "value": "405"
  },
  {
    "date": "2016-03-10T00:00:00-05:00",
    "value": "376"
  },
  {
    "date": "2016-03-11T00:00:00-05:00",
    "value": "359"
  },
  {
    "date": "2016-03-12T00:00:00-05:00",
    "value": "392"
  },
  {
    "date": "2016-03-13T00:00:00-05:00",
    "value": "433"
  },
  {
    "date": "2016-03-14T00:00:00-05:00",
    "value": "455"
  },
  {
    "date": "2016-03-15T00:00:00-05:00",
    "value": "478"
  }
];
    data.forEach(function(d) {
        d.date = parseDate(d.date);
        d.value = +d.value;
    });

  x.domain(data.map(function(d) { return d.date; }));
  y.domain([0, d3.max(data, function(d) { return d.value; })]);
  
  var xAxis = d3.axisBottom()
    .scale(x)
    .tickFormat(d3.timeFormat("%Y-%m-%d"))
    .tickValues(x.domain().filter(function(d,i){ return !(i%4)}));

  svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis)
    .selectAll("text")
      .style("text-anchor", "end")
      .attr("dx", "-.8em")
      .attr("dy", "-.55em")
      .attr("transform", "rotate(-90)" );

  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")
      .text("Value");

  svg.selectAll("bar")
      .data(data)
    .enter().append("rect")
      .style("fill", "steelblue")
      .attr("x", function(d) { return x(d.date); })
      .attr("width", x.bandwidth())
      .attr("y", function(d) { return y(d.value); })
      .attr("height", function(d) { return height - y(d.value); });

// });

＆＃13;

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

＆＃13;

<div class="chart"></div>
<script src="https://d3js.org/d3.v4.min.js"  charset="utf-8"></script>

＆＃13;

使用时间序列数据和scaleBand

1 个答案: