搜索D3捆绑布局的功能

时间:2014-04-04 21:31:20

标签: json search d3.js bundle-layout

我是菜鸟并尝试为图表实施搜索方法。

该图是一个和弦图,主要是从这里改编而来:

http://bl.ocks.org/mbostock/1044242

enter image description here

搜索功能取自此处:

http://mbostock.github.io/protovis/ex/treemap.html

我的问题是,当它读取我的文件时,它将文本解释为:[object SVGTextElement],因此我搜索的唯一命中就是搜索[object SVGTextElement]。

这是我的全部代码:

<html>
  <head>
    <title>I'm Cool</title>
    <link rel="stylesheet" type="text/css" href="ex.css?3.2"/>
    <script type="text/javascript" src="../protovis-r3.2.js"></script>
    <script type="text/javascript" src="bla3.json"></script>
    <style type="text/css">

.node {
  font: 300 11px "Helvetica Neue", Helvetica, Arial, sans-serif;
  fill: #bbb;
}

.node:hover {
  fill: #000;
}

.link {
  stroke: steelblue;
  stroke-opacity: 0.4;
  fill: none;
  pointer-events: none;
}

.node:hover,
.node--source,
.node--target {
  font-weight: 700;
}

.node--source {
  fill: #2ca02c;
}

.node--target {
  fill: #d62728;
}


.link--source,
.link--target {
  stroke-opacity: 1;
  stroke-width: 2px;
}

.link--source {
  stroke: #d62728;
}

.link--target {
  stroke: #2ca02c;
}
#fig {
  width: 860px;
}

#footer {
  font: 24pt helvetica neue;
  color: #666;
}

input {
  font: 24pt helvetica neue;
  background: none;
  border: none;
  outline: 0;
}

#title {
  float: right;
  text-align: right;
}
</style>
<body><div id="center"><div id="fig">
    <div id="title"></div>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>

var diameter = 800,
    radius = diameter / 2,
    innerRadius = radius - 160;

var cluster = d3.layout.cluster()
    .size([360, innerRadius])
    .sort(null)
    .value(function(d) { return d.size; });

var bundle = d3.layout.bundle();

var line = d3.svg.line.radial()
    .interpolate("bundle")
    .tension(.85)
    .radius(function(d) { return d.y; })
    .angle(function(d) { return d.x / 180 * Math.PI; });

var svg = d3.select("body").append("svg")
    .attr("width", diameter)
    .attr("height", diameter)
  .append("g")
    .attr("transform", "translate(" + radius + "," + radius + ")");

var link = svg.append("g").selectAll(".link"),
    node = svg.append("g").selectAll(".node");

d3.json("bla3.json", function(error, classes) {
  var nodes = cluster.nodes(packageHierarchy(classes)),
      links = packageImports(nodes);

  link = link
      .data(bundle(links))
    .enter().append("path")
      .each(function(d) { d.source = d[0], d.target = d[d.length - 1]; })
      .attr("class", "link")
      .attr("d", line);

  node = node
      .data(nodes.filter(function(n) { return !n.children; }))
    .enter().append("text")
      .attr("class", "node")
      .attr("dx", function(d) { return d.x < 180 ? 12 : -12; })
      .attr("dy", ".31em")
      .attr("transform", function(d) { return "rotate(" + (d.x - 90) + ")translate(" + d.y +  ")" + (d.x < 180 ? "" : "rotate(180)"); })
      .style("text-anchor", function(d) { return d.x < 180 ? "start" : "end"; })
      .text(function(d) { return d.key; })
      .on("mouseover", mouseovered)
      .on("mouseout", mouseouted);
});

function mouseovered(d) {
  node
      .each(function(n) { n.target = n.source = false; });

  link
      .classed("link--target", function(l) { if (l.target === d) return l.source.source = true; })
      .classed("link--source", function(l) { if (l.source === d) return l.target.target = true; })
    .filter(function(l) { return l.target === d || l.source === d; })
      .each(function() { this.parentNode.appendChild(this); });

  node
      .classed("node--target", function(n) { return n.target; })
      .classed("node--source", function(n) { return n.source; });
}

function mouseouted(d) {
  link
      .classed("link--target", false)
      .classed("link--source", false);

  node
      .classed("node--target", false)
      .classed("node--source", false);
}

d3.select(self.frameElement).style("height", diameter + "px");

// Lazily construct the package hierarchy from class names.
function packageHierarchy(classes) {
  var map = {};

  function find(name, data) {
    var node = map[name], i;
    if (!node) {
      node = map[name] = data || {name: name, children: []};
      if (name.length) {
        node.parent = find(name.substring(0, i = name.lastIndexOf(".")));
        node.parent.children.push(node);
        node.key = name.substring(i + 1);
      }
    }
    return node;
  }

  classes.forEach(function(d) {
    find(d.name, d);
  });

  return map[""];
}

// Return a list of imports for the given array of nodes.
function packageImports(node) {
  var map = {},
      imports = [];

  // Compute a map from name to node.
  node.forEach(function(d) {
    map[d.name] = d;
  });

  // For each import, construct a link from the source to target node.
  node.forEach(function(d) {
    if (d.imports) d.imports.forEach(function(i) {
      imports.push({source: map[d.name], target: map[i]});
    });
  });

  return imports;
}
function title(d) {
  return d.parentNode ? (title(d.parentNode) + "." + d.nodeName) : d.nodeName;
}

var re = "",
    color = pv.Colors.category19().by(function(d) d.parentNode.nodeName)
    node = pv.dom(bla3).root("bla3.json").node();

var vis = new pv.Panel()
    .width(860)
    .height(568);


cluster.bundle.add(pv.Panel)
    .fillStyle(function(d) color(d).alpha(title(d).match(re) ? 1 : .2))
    .strokeStyle("#fff")
    .lineWidth(1)
    .antialias(false);

cluster.bundle.add(pv.Label)
    .textStyle(function(d) pv.rgb(0, 0, 0, title(d).match(re) ? 1 : .2));

vis.render();

/** Counts the number of matching classes, updating the title element. */
function count() {
  var classes = 0, bytes = 0, total = 0;
  for (var i = 0; i < node.length; i++) {
    var n = node[i];
    if(n.firstChild) continue;
    total += n.nodeValue;
    if (title(n).match(re)) {
      classes++;
      bytes += n.nodeValue;
    }
  }
  var percent = bytes / total * 100;
  document.getElementById("title").innerHTML
      = classes + " classes found "+n;
}

/** Updates the visualization and count when a new query is entered. */
function update(query) {
  if (query != re) {
    re = new RegExp(query, "i");
    count();
    vis.render();
  }
}

count();
</script>
 <div id="footer">
      <label for="search">search: </label>
      <input type="text" id="search" onkeyup="update(this.value)">
    </div>
  </div></div></body>
</html>

输入是bla3.json,看起来像这样:

[{"name":"A.Patient Intake","imports":["E.Name","C.injury","E.DOB","E.Email","Progress","B.Obtain Brief Medical History","Perform Physical Exam","Perform Subjective Patient Evaluation"]},
{"name":"C.injury","imports":[]},
{"name":"E.Name","imports":[]},
{"name":"E.Email","imports":[]},
...

我没有把所有的东西都放在一边,但这不重要......

我的目的当然是拥有一个我可以输入的搜索功能,例如,&#34;患者摄入&#34;它会突出显示和弦(或只是名称):

enter image description here

关于如何解决这个问题的任何想法?

1 个答案:

答案 0 :(得分:3)

我会以与你目前正在做的完全不同的方式来处理这个问题。我会根据查询(而不是DOM元素)过滤数据,然后使用D3的数据匹配来确定要突出显示的内容。在代码中,这看起来像这样。

function update(query) {
  if (query != re) {
    re = new RegExp(query, "i");

    var matching = classes.filter(function(d) { return d.name.match(re); });

    d3.selectAll("text.node").data(matching, function(d) { return d.name; })
      // do something with the nodes

    // can be source or target in links, so we use a different method here
    links.filter(function(d) {
        var ret = false;
        matching.forEach(function(e) {
          ret = ret || e.name == d.source.name || e.name == d.target.name;
        });
        return ret;
      })
      // do something with the links
  }
}