D3.js如何使用嵌入非分层数据的分层布局
D3.js how to use hierarchical layouts with embedded non hierarchical data
我试图用嵌入的数据调整mike bostock的树布局示例http://bl.ocks.org/mbostock/4339083.嵌入的数据应该是一个非分层的。csv文件的副本:
getData2 ()从"pre"标签获取数据并嵌套它。但由于某些原因，它不起作用。
getData3()也不工作，因为某些原因，我使用一个变量与非嵌套数组，然后嵌套它。
我如何改变getData2()和getData3()方法使其工作?
这是我的html文件:<!DOCTYPE html>
<html>
<pre id="csvdata">
Year,Make,Model,Length
1997,BMW,E350,2.34
1997,BMW,E350,2.34
2000,Mercury,Cougar,2.38
</pre>
<head>
<meta http-equiv="Content-Type" content="text/html;charset=utf-8"/>
<link type="text/css" rel="stylesheet" href="style.css"/>
<script type="text/javascript" src="../lib/d3.min.js"></script>
<!--<script type="text/javascript" src="d3/d3.layout.js"></script> -->
<style type="text/css">
.node circle {
cursor: pointer;
fill: #fff;
stroke: steelblue;
stroke-width: 1.5px;
}
.node text {
font-size: 11px;
}
path.link {
fill: none;
stroke: #ccc;
stroke-width: 1.5px;
}
#csvdata {
display: none;
}
</style>
</head>
<body>
<div id="body">
<div id="footer">
d3.layout.tree
<div class="hint">click or option-click to expand or collapse</div>
</div>
</div>
<script type="text/javascript">
var margin = {top: 20, right: 120, bottom: 20, left: 120},
width = 960 - margin.right - margin.left,
height = 800 - margin.top - margin.bottom;
var i = 0,
duration = 750,
root;
var tree = d3.layout.tree()
.size([height, width]);
var diagonal = d3.svg.diagonal()
.projection(function(d) { return [d.y, d.x]; });
var svg = d3.select("body").append("svg")
.attr("width", width + margin.right + margin.left)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// root = getData(); // that works
// root = getData2(); // that doesn't work
root = getData3(); // that doesn't work either
console.log(root);
root.x0 = height / 2;
root.y0 = 0;
function collapse(d) {
if (d.children) {
d._children = d.children;
d._children.forEach(collapse);
d.children = null;
}
}
root.children.forEach(collapse);
update(root);
d3.select(self.frameElement).style("height", "800px");
function update(source) {
// Compute the new tree layout.
var nodes = tree.nodes(root).reverse(),
links = tree.links(nodes);
// Normalize for fixed-depth.
nodes.forEach(function(d) { d.y = d.depth * 180; });
// Update the nodes…
var node = svg.selectAll("g.node")
.data(nodes, function(d) { return d.id || (d.id = ++i); });
// Enter any new nodes at the parent's previous position.
var nodeEnter = node.enter().append("g")
.attr("class", "node")
.attr("transform", function(d) { return "translate(" + source.y0 + "," + source.x0 + ")"; })
.on("click", click);
nodeEnter.append("circle")
.attr("r", 1e-6)
.style("fill", function(d) { return d._children ? "lightsteelblue" : "#fff"; });
nodeEnter.append("text")
.attr("x", function(d) { return d.children || d._children ? -10 : 10; })
.attr("dy", ".35em")
.attr("text-anchor", function(d) { return d.children || d._children ? "end" : "start"; })
.text(function(d) { return d.name; })
.style("fill-opacity", 1e-6);
// Transition nodes to their new position.
var nodeUpdate = node.transition()
.duration(duration)
.attr("transform", function(d) { return "translate(" + d.y + "," + d.x + ")"; });
nodeUpdate.select("circle")
.attr("r", 4.5)
.style("fill", function(d) { return d._children ? "lightsteelblue" : "#fff"; });
nodeUpdate.select("text")
.style("fill-opacity", 1);
// Transition exiting nodes to the parent's new position.
var nodeExit = node.exit().transition()
.duration(duration)
.attr("transform", function(d) { return "translate(" + source.y + "," + source.x + ")"; })
.remove();
nodeExit.select("circle")
.attr("r", 1e-6);
nodeExit.select("text")
.style("fill-opacity", 1e-6);
// Update the links…
var link = svg.selectAll("path.link")
.data(links, function(d) { return d.target.id; });
// Enter any new links at the parent's previous position.
link.enter().insert("path", "g")
.attr("class", "link")
.attr("d", function(d) {
var o = {x: source.x0, y: source.y0};
return diagonal({source: o, target: o});
});
// Transition links to their new position.
link.transition()
.duration(duration)
.attr("d", diagonal);
// Transition exiting nodes to the parent's new position.
link.exit().transition()
.duration(duration)
.attr("d", function(d) {
var o = {x: source.x, y: source.y};
return diagonal({source: o, target: o});
})
.remove();
// Stash the old positions for transition.
nodes.forEach(function(d) {
d.x0 = d.x;
d.y0 = d.y;
});
}
// Toggle children on click.
function click(d) {
if (d.children) {
d._children = d.children;
d.children = null;
} else {
d.children = d._children;
d._children = null;
}
update(d);
}
function getData2() {
csv_data = d3.select("#csvdata");
var nested_data = d3.nest()
.key(function(d) { return d.Make; })
.entries(csv_data);
return nested_data;
}
function getData3() {
var yields = [{yield: 27.00, variety: "Manchuria", year: 1931, site: "University Farm"},
{yield: 48.87, variety: "Manchuria", year: 1931, site: "Waseca"},
{yield: 27.43, variety: "Manchuria", year: 1931, site: "Morris"}];
var nest = d3.nest()
.key(function(d) { return d.year; })
.key(function(d) { return d.variety; })
.entries(yields);
return nest;
}
function getData() {
return{
"name": "flare",
"children": [{
"name": "analytics",
"children": [{
"name": "cluster",
"children": [{
"name": "AgglomerativeCluster",
"size": 3938
}, {
"name": "CommunityStructure",
"size": 3812
}, {
"name": "HierarchicalCluster",
"size": 6714
}, {
"name": "MergeEdge",
"size": 743
}]
}, {
"name": "graph",
"children": [{
"name": "BetweennessCentrality",
"size": 3534
}, {
"name": "LinkDistance",
"size": 5731
}, {
"name": "MaxFlowMinCut",
"size": 7840
}, {
"name": "ShortestPaths",
"size": 5914
}, {
"name": "SpanningTree",
"size": 3416
}]
}, {
"name": "optimization",
"children": [{
"name": "AspectRatioBanker",
"size": 7074
}]
}]
}, {
"name": "animate",
"children": [{
"name": "interpolate",
"children": [{
"name": "ArrayInterpolator",
"size": 1983
}, {
"name": "ColorInterpolator",
"size": 2047
}, {
"name": "DateInterpolator",
"size": 1375
}, {
"name": "Interpolator",
"size": 8746
}, {
"name": "MatrixInterpolator",
"size": 2202
}, {
"name": "NumberInterpolator",
"size": 1382
}, {
"name": "ObjectInterpolator",
"size": 1629
}, {
"name": "PointInterpolator",
"size": 1675
}, {
"name": "RectangleInterpolator",
"size": 2042
}]
}, {
"name": "ISchedulable",
"size": 1041
}, {
"name": "Parallel",
"size": 5176
}, {
"name": "Pause",
"size": 449
}, {
"name": "Scheduler",
"size": 5593
}, {
"name": "Sequence",
"size": 5534
}, {
"name": "Transition",
"size": 9201
}, {
"name": "Transitioner",
"size": 19975
}, {
"name": "TransitionEvent",
"size": 1116
}, {
"name": "Tween",
"size": 6006
}]
}, {
"name": "data",
"children": [{
"name": "converters",
"children": [{
"name": "Converters",
"size": 721
}, {
"name": "DelimitedTextConverter",
"size": 4294
}, {
"name": "GraphMLConverter",
"size": 9800
}, {
"name": "IDataConverter",
"size": 1314
}, {
"name": "JSONConverter",
"size": 2220
}]
}, {
"name": "DataField",
"size": 1759
}, {
"name": "DataSchema",
"size": 2165
}, {
"name": "DataSet",
"size": 586
}, {
"name": "DataSource",
"size": 3331
}, {
"name": "DataTable",
"size": 772
}, {
"name": "DataUtil",
"size": 3322
}]
}]
}
}
</script>
</body>
</html>
在getData2()函数抓取csv_data是错误的。你应该替换
csv_data = d3.select("#csvdata"); // won't work
csv_data = d3.csv.parse(d3.select("pre#csvdata").text()); // works
你可以在这里阅读更多关于选择用d3解析CSV数据
d3.nest()生成带有'key'和'values'属性的嵌套数组。但是树默认使用'children'和'name'。为了将其转换为'name'和'children':1. 您需要指定树的子访问器函数tree.children ()2. 修改节点的文本属性，如下所示:
.text(function(d) { return d.key; })
相关文章：
- 用程序搜索JQuery数据表中的文本
- 要求输入在数据列表中
- Webix 数据布局中的分层数据集
- Kendo UI，将饼图绑定到分层远程数据
- AngularJS :如何创建DOM并绑定到基于任意分层数据的模型
- 在网页中显示分层 xml 数据
- 将 MySQL 查询结果转换为分层数据 - D3
- JavaScript 中的透明分层数据帧
- d3.js遍历分层数据
- 分层数据模型的角度嵌套过滤器
- 分层json数据的正确显示
- 循环以显示分层数据
- 基于数据的分层列表按钮
- D3.js如何使用嵌入非分层数据的分层布局
- 如何从分层数据生成剑道树视图?AngularJS
- D3.js分层边缘绑定:在变量中嵌入json数据
- 具有深度分层数据的 ReactJS 数据流
- 未选择分层数据的选项
- 使用jQuery数据表显示分层数据
- AngularJS:需要一个分层数据的最佳实践
