javascript - 将 d3 条形图重构为水平条形图

Question

我试图将 d3 中的条形图重构为水平条形图。我认为我已经隔离了需要更改的三个区域:

原始规模声明:

  var x0 = d3.scale.ordinal()
      .rangeRoundBands([0, width], 0.1);

  var x1 = d3.scale.ordinal();

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

域定义:

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

矩形附加和定位:

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

我似乎无法正确地进行重构，我认为这是因为我不完全了解域对于 x0 的工作原理，并且基本上没有正确地进行重构会导致其他一切都不起作用的瀑布效应。

我把完整的例子放在这里:JSFIDDLE

Answer 1

这是一个快速重构:

var margin = {top: 20, right: 20, bottom: 30, left: 270},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var y0 = d3.scale.ordinal()
    .rangeRoundBands([0, height], 0.1);

var y1 = d3.scale.ordinal();

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

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

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

var yAxis = d3.svg.axis()
    .scale(y0)
    .orient("left");
    // .tickFormat(d3.format(".2s"));

var svg = d3.select("#deviceown-barchart").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 + ")");

var data = d3.csv.parse( d3.select("pre#data").text() );


  var deviceClass = d3.keys(data[0]).filter(function(key) { return key !== "deviceType"; });

  data.forEach(function(d) {
    d.whenPurchased = deviceClass.map(function(device) { return {device: device, value: +d[device]}; });
  });

  y0.domain(data.map(function(d) { return d.deviceType; }));
  y1.domain(deviceClass).rangeRoundBands([0, y0.rangeBand()]);
  x.domain([0, d3.max(data, function(d) { return d3.max(d.whenPurchased, 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");

  var device = svg.selectAll(".device")
      .data(data)
    .enter().append("g")
      .attr("class", "device")
      .attr("transform", function(d) { return "translate(0," + y0(d.deviceType) + ")"; });

device.selectAll("rect")
      .data(function(d) { return d.whenPurchased; })
    .enter().append("rect")
      .attr("height", y1.rangeBand())
      .attr("y", function(d) { return y1(d.device); })
      .attr("x", 0)
      .style("fill", function(d) { return color(d.device); })
      .attr("width", 0)
      .transition()
      .duration(1500)
      .attr("width", function(d) { return x(d.value); });

  var legend = svg.selectAll(".legend")
      .data(deviceClass.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; });

// });

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

.bar {
  fill: steelblue;
}

.y.axis path {
  display: none;
}

<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<div id="deviceown-barchart"></div>

<pre id="data">
deviceType,Within the last 6 months,More than 6 months ago
Netatmo Weather Station,0.14,0.09
Nest Learning Thermostat,0.13,0.14
Philips Hue Connected Bulb,0.13,0.08
Nest Cam,0.12,0.12
Belkin WeMo Switch + Motion,0.09,0.08
Nest Protect,0.08,0.12
Canary,0.08,0.03
Other smart home security device,0.08,0.12
August Smart Lock,0.06,0.07
Other connected home appliance,0.05,0.08
GE/Quirky Aros Smart AC,0.04,0.04
Other smart energy monitor,0,0.03
</pre>

已更新fiddle .