D3 轴中的过渡

Transitions in D3 Axis

我正在尝试创建一个可以包含过渡的分组条形图。我参考了 Mike Bostock 的分组条形图示例并使条形图过渡有效但也无法使轴过渡。我在这个例子中指的是状态标签。

我尝试按照发布的另一个示例进行操作,但我对为什么我可以让它工作感到困惑。对于我的示例代码,转换发生在单击 SVG

分组条形图参考Example

轴参考Example

<!DOCTYPE html>
<meta charset="utf-8">
<style>

body {
  font: 10px sans-serif;
}

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

.bar {
  fill: steelblue;
}

.x_axis path {
  display: none;
}

</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>

//Update the flips bars but not the axis
function update() {
    var data_update = data.reverse()

    x0.domain[data_update]

      svg.selectAll(".state")
      .data(data_update)
      .transition()
      .attr("transform", function(d) { return "translate(" + x0(d.State) + ",0)"; });

      svg.select(".x_axis")
      .transition()
      .call(xAxis);
    }

d3.select("svg")
    .on("click", update)

//The rest of the code
var data

var margin = {top: 20, right: 20, bottom: 30, left: 40},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var x0 = d3.scale.ordinal()
    .rangeRoundBands([0, width], .1);

var x1 = d3.scale.ordinal();

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

var color = d3.scale.ordinal()
    .range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);

var xAxis = d3.svg.axis()
    .scale(x0)
    .orient("bottom");

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("data.csv", function(error, csv) {
  data = csv
  var ageNames = d3.keys(data[0]).filter(function(key) { return key !== "State"; });

  data.forEach(function(d) {
    d.ages = ageNames.map(function(name) { return {name: name, value: +d[name]}; });
  });

  x0.domain(data.map(function(d) { return d.State; }));
  x1.domain(ageNames).rangeRoundBands([0, x0.rangeBand()]);
  y.domain([0, d3.max(data, function(d) { return d3.max(d.ages, function(d) { return d.value; }); })]);

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


  var state = svg.selectAll(".state")
      .data(data)
    .enter().append("g")
      .attr("class", "state")
      .attr("transform", function(d) { return "translate(" + x0(d.State) + ",0)"; });


  state.selectAll("rect")
      .data(function(d) { return d.ages; })
    .enter().append("rect")
      .attr("width", x1.rangeBand())
      .attr("x", function(d) { return x1(d.name); })
      .attr("y", function(d) { return y(d.value); })
      .attr("height", function(d) { return height - y(d.value); })
      .style("fill", function(d) { return color(d.name); });

});

</script>

我是个傻瓜,想通了。

对对象数组调用 .domain 方法是没有用的。我忘了映射对象数组来获取状态的值

x0.domain(data_update.map(function(d) { return d.State; }))

下面的完整代码供好奇的人使用

<!DOCTYPE html>
<meta charset="utf-8">
<style>

body {
  font: 10px sans-serif;
}

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

.bar {
  fill: steelblue;
}

.x_axis path {
  display: none;
}

</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>

var data

var margin = {top: 20, right: 20, bottom: 30, left: 40},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var x0 = d3.scale.ordinal()
    .rangeRoundBands([0, width], .1);

var x1 = d3.scale.ordinal();

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

var color = d3.scale.ordinal()
    .range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);

var xAxis = d3.svg.axis()
    .scale(x0)
    .orient("bottom");

var yAxis = d3.svg.axis()
    .scale(y)
    .orient("left")
    .tickFormat(d3.format(".2s"));

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("data.csv", function(error, csv) {
  data = csv
  var ageNames = d3.keys(data[0]).filter(function(key) { return key !== "State"; });

  data.forEach(function(d) {
    d.ages = ageNames.map(function(name) { return {name: name, value: +d[name]}; });
  });

  x0.domain(data.map(function(d) { return d.State; }));
  x1.domain(ageNames).rangeRoundBands([0, x0.rangeBand()]);
  y.domain([0, d3.max(data, function(d) { return d3.max(d.ages, function(d) { return d.value; }); })]);

  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("transform", "rotate(-90)")
      .attr("y", 6)
      .attr("dy", ".71em")
      .style("text-anchor", "end")
      .text("Population");

  var state = svg.selectAll(".state")
      .data(data, function(d) {return d.State})
    .enter().append("g")
      .attr("class", "state")
      .attr("transform", function(d) { return "translate(" + x0(d.State) + ",0)"; });


  state.selectAll("rect")
      .data(function(d) { return d.ages; })
    .enter().append("rect")
      .attr("width", x1.rangeBand())
      .attr("x", function(d) { return x1(d.name); })
      .attr("y", function(d) { return y(d.value); })
      .attr("height", function(d) { return height - y(d.value); })
      .style("fill", function(d) { return color(d.name); });

  var legend = svg.selectAll(".legend")
      .data(ageNames.slice().reverse())
    .enter().append("g")
      .attr("class", "legend")
      .attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });

  legend.append("rect")
      .attr("x", width - 18)
      .attr("width", 18)
      .attr("height", 18)
      .style("fill", color);

  legend.append("text")
      .attr("x", width - 24)
      .attr("y", 9)
      .attr("dy", ".35em")
      .style("text-anchor", "end")
      .text(function(d) { return d; });

});

//Update the flips bars
function update() {

    data.reverse()
    x0.domain(data.map(function(d) { return d.State; }))

      svg.selectAll(".state")
      .data(data, function(d) {return d.State})
      .transition()
      .attr("transform", function(d) { return "translate(" + x0(d.State) + ",0)"; });

      svg.select(".x_axis")
      .transition()
      .call(xAxis);
    }

d3.select("svg")
    .on("click", update)



</script>