Question

我希望从文件中加载JSON数据数组，以便根据Mike Bostock example here生成可折叠的树形图。该示例使用格式正确的外部JSON文件，并使用d3.json函数加载它。

我希望能够从文件中加载json数组，这是从flay数组生成多级数组的结果（根据example question here）。

sample file I have stood up on bl.ocks.org / GitHub显示了我想要实现的两个部分，而没有获取多级JSON数据并将其连接到可折叠树形图的关键部分

简而言之。我在文件中声明了以下数据;

var data = [
     { "name" : "ABC", "parent":"DEF", "relation": "ghi", "depth": 1 },
     { "name" : "DEF", "parent":"null", "relation": "null", "depth": 0 },
     { "name" : "new_name", "parent":"ABC", "relation": "rel", "depth": 2 },
     { "name" : "new_name2", "parent":"ABC", "relation": "foo", "depth": 2 },
     { "name" : "Foo", "parent":"DEF", "relation": "rel", "depth": 2 }
    ];

然后运行这部分代码...

var dataMap = data.reduce(function(map, node) {
    map[node.name] = node;
    return map;
}, {});

// create the tree array
var treeData = [];
data.forEach(function(node) {
    // add to parent
    var parent = dataMap[node.parent];
    if (parent) {
        // create child array if it doesn't exist
        (parent.children || (parent.children = []))
            // add node to child array
            .push(node);
    } else {
        // parent is null or missing
        treeData.push(node);
    }
});

将数组转换为多级json，如下所示（它也被推送到屏幕上供参考）;

[
  {
    "name": "DEF",
    "parent": "null",
    "relation": "null",
    "depth": 0,
    "children": [
      {
        "name": "ABC",
        "parent": "DEF",
        "relation": "ghi",
        "depth": 1,
        "children": [
          {
            "name": "new_name",
            "parent": "ABC",
            "relation": "rel",
            "depth": 2
          },
          {
            "name": "new_name2",
            "parent": "ABC",
            "relation": "foo",
            "depth": 2
          }
        ]
      },
      {
        "name": "Foo",
        "parent": "DEF",
        "relation": "rel",
        "depth": 2
      }
    ]
  }
]

但是我必须从外部文件加载相同的数据才能将其放入可折叠的树形图中。执行此操作的代码如下;

d3.json("example.json", function(error, DEF) {
  root = DEF;
  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);
});

图表看起来像这样......

enter image description here

我很确定我刚刚遇到某种心理障碍，这是一个简单的答案，但现在已经打败了我几个小时。

如何将格式正确的JSON数据从代码的格式化部分传递到图表部分？

感谢您的帮助。

编辑：我添加了JSFiddle with the suggested edits from Jesus here (http://jsfiddle.net/LGvha/)。

Answer 1

您非常接近，您需要做的就是将您创建的treeData设置为树的根。因此，您可以执行以下操作，而不是加载JSON数据：

// replace this line
// d3.json("/d/4063550/flare.json", function(error, flare) {
root = treeData[0];
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);
//remove this line
// });

Answer 2

感谢提示/指示......我是JS中的一个总菜鸟，我不明白为什么给出完整的代码示例而不是片段。在python社区中，这样的答案通常会受到严厉惩罚。

我确实有一个完整的例子 - 我希望这可以让别人避免我刚刚懒散的2小时挫折。

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

.node {
  cursor: pointer;
}

.node circle {
  fill: #fff;
  stroke: steelblue;
  stroke-width: 1.5px;
}

.node text {
  font: 10px sans-serif;
}

.link {
  fill: none;
  stroke: #ccc;
  stroke-width: 1.5px;
}

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

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 + ")");

//MyData
  var flareStr='{"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": "Easing", "size": 17010}, {"name": "FunctionSequence", "size": 5842}, {"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}]}, {"name": "display", "children": [{"name": "DirtySprite", "size": 8833}, {"name": "LineSprite", "size": 1732}, {"name": "RectSprite", "size": 3623}, {"name": "TextSprite", "size": 10066}]}, {"name": "flex", "children": [{"name": "FlareVis", "size": 4116}]}, {"name": "physics", "children": [{"name": "DragForce", "size": 1082}, {"name": "GravityForce", "size": 1336}, {"name": "IForce", "size": 319}, {"name": "NBodyForce", "size": 10498}, {"name": "Particle", "size": 2822}, {"name": "Simulation", "size": 9983}, {"name": "Spring", "size": 2213}, {"name": "SpringForce", "size": 1681}]}, {"name": "query", "children": [{"name": "AggregateExpression", "size": 1616}, {"name": "And", "size": 1027}, {"name": "Arithmetic", "size": 3891}, {"name": "Average", "size": 891}, {"name": "BinaryExpression", "size": 2893}, {"name": "Comparison", "size": 5103}, {"name": "CompositeExpression", "size": 3677}, {"name": "Count", "size": 781}, {"name": "DateUtil", "size": 4141}, {"name": "Distinct", "size": 933}, {"name": "Expression", "size": 5130}, {"name": "ExpressionIterator", "size": 3617}, {"name": "Fn", "size": 3240}, {"name": "If", "size": 2732}, {"name": "IsA", "size": 2039}, {"name": "Literal", "size": 1214}, {"name": "Match", "size": 3748}, {"name": "Maximum", "size": 843}, {"name": "methods", "children": [{"name": "add", "size": 593}, {"name": "and", "size": 330}, {"name": "average", "size": 287}, {"name": "count", "size": 277}, {"name": "distinct", "size": 292}, {"name": "div", "size": 595}, {"name": "eq", "size": 594}, {"name": "fn", "size": 460}, {"name": "gt", "size": 603}, {"name": "gte", "size": 625}, {"name": "iff", "size": 748}, {"name": "isa", "size": 461}, {"name": "lt", "size": 597}, {"name": "lte", "size": 619}, {"name": "max", "size": 283}, {"name": "min", "size": 283}, {"name": "mod", "size": 591}, {"name": "mul", "size": 603}, {"name": "neq", "size": 599}, {"name": "not", "size": 386}, {"name": "or", "size": 323}, {"name": "orderby", "size": 307}, {"name": "range", "size": 772}, {"name": "select", "size": 296}, {"name": "stddev", "size": 363}, {"name": "sub", "size": 600}, {"name": "sum", "size": 280}, {"name": "update", "size": 307}, {"name": "variance", "size": 335}, {"name": "where", "size": 299}, {"name": "xor", "size": 354}, {"name": "_", "size": 264}]}, {"name": "Minimum", "size": 843}, {"name": "Not", "size": 1554}, {"name": "Or", "size": 970}, {"name": "Query", "size": 13896}, {"name": "Range", "size": 1594}, {"name": "StringUtil", "size": 4130}, {"name": "Sum", "size": 791}, {"name": "Variable", "size": 1124}, {"name": "Variance", "size": 1876}, {"name": "Xor", "size": 1101}]}, {"name": "scale", "children": [{"name": "IScaleMap", "size": 2105}, {"name": "LinearScale", "size": 1316}, {"name": "LogScale", "size": 3151}, {"name": "OrdinalScale", "size": 3770}, {"name": "QuantileScale", "size": 2435}, {"name": "QuantitativeScale", "size": 4839}, {"name": "RootScale", "size": 1756}, {"name": "Scale", "size": 4268}, {"name": "ScaleType", "size": 1821}, {"name": "TimeScale", "size": 5833}]}, {"name": "util", "children": [{"name": "Arrays", "size": 8258}, {"name": "Colors", "size": 10001}, {"name": "Dates", "size": 8217}, {"name": "Displays", "size": 12555}, {"name": "Filter", "size": 2324}, {"name": "Geometry", "size": 10993}, {"name": "heap", "children": [{"name": "FibonacciHeap", "size": 9354}, {"name": "HeapNode", "size": 1233}]}, {"name": "IEvaluable", "size": 335}, {"name": "IPredicate", "size": 383}, {"name": "IValueProxy", "size": 874}, {"name": "math", "children": [{"name": "DenseMatrix", "size": 3165}, {"name": "IMatrix", "size": 2815}, {"name": "SparseMatrix", "size": 3366}]}, {"name": "Maths", "size": 17705}, {"name": "Orientation", "size": 1486}, {"name": "palette", "children": [{"name": "ColorPalette", "size": 6367}, {"name": "Palette", "size": 1229}, {"name": "ShapePalette", "size": 2059}, {"name": "SizePalette", "size": 2291}]}, {"name": "Property", "size": 5559}, {"name": "Shapes", "size": 19118}, {"name": "Sort", "size": 6887}, {"name": "Stats", "size": 6557}, {"name": "Strings", "size": 22026}]}, {"name": "vis", "children": [{"name": "axis", "children": [{"name": "Axes", "size": 1302}, {"name": "Axis", "size": 24593}, {"name": "AxisGridLine", "size": 652}, {"name": "AxisLabel", "size": 636}, {"name": "CartesianAxes", "size": 6703}]}, {"name": "controls", "children": [{"name": "AnchorControl", "size": 2138}, {"name": "ClickControl", "size": 3824}, {"name": "Control", "size": 1353}, {"name": "ControlList", "size": 4665}, {"name": "DragControl", "size": 2649}, {"name": "ExpandControl", "size": 2832}, {"name": "HoverControl", "size": 4896}, {"name": "IControl", "size": 763}, {"name": "PanZoomControl", "size": 5222}, {"name": "SelectionControl", "size": 7862}, {"name": "TooltipControl", "size": 8435}]}, {"name": "data", "children": [{"name": "Data", "size": 20544}, {"name": "DataList", "size": 19788}, {"name": "DataSprite", "size": 10349}, {"name": "EdgeSprite", "size": 3301}, {"name": "NodeSprite", "size": 19382}, {"name": "render", "children": [{"name": "ArrowType", "size": 698}, {"name": "EdgeRenderer", "size": 5569}, {"name": "IRenderer", "size": 353}, {"name": "ShapeRenderer", "size": 2247}]}, {"name": "ScaleBinding", "size": 11275}, {"name": "Tree", "size": 7147}, {"name": "TreeBuilder", "size": 9930}]}, {"name": "events", "children": [{"name": "DataEvent", "size": 2313}, {"name": "SelectionEvent", "size": 1880}, {"name": "TooltipEvent", "size": 1701}, {"name": "VisualizationEvent", "size": 1117}]}, {"name": "legend", "children": [{"name": "Legend", "size": 20859}, {"name": "LegendItem", "size": 4614}, {"name": "LegendRange", "size": 10530}]}, {"name": "operator", "children": [{"name": "distortion", "children": [{"name": "BifocalDistortion", "size": 4461}, {"name": "Distortion", "size": 6314}, {"name": "FisheyeDistortion", "size": 3444}]}, {"name": "encoder", "children": [{"name": "ColorEncoder", "size": 3179}, {"name": "Encoder", "size": 4060}, {"name": "PropertyEncoder", "size": 4138}, {"name": "ShapeEncoder", "size": 1690}, {"name": "SizeEncoder", "size": 1830}]}, {"name": "filter", "children": [{"name": "FisheyeTreeFilter", "size": 5219}, {"name": "GraphDistanceFilter", "size": 3165}, {"name": "VisibilityFilter", "size": 3509}]}, {"name": "IOperator", "size": 1286}, {"name": "label", "children": [{"name": "Labeler", "size": 9956}, {"name": "RadialLabeler", "size": 3899}, {"name": "StackedAreaLabeler", "size": 3202}]}, {"name": "layout", "children": [{"name": "AxisLayout", "size": 6725}, {"name": "BundledEdgeRouter", "size": 3727}, {"name": "CircleLayout", "size": 9317}, {"name": "CirclePackingLayout", "size": 12003}, {"name": "DendrogramLayout", "size": 4853}, {"name": "ForceDirectedLayout", "size": 8411}, {"name": "IcicleTreeLayout", "size": 4864}, {"name": "IndentedTreeLayout", "size": 3174}, {"name": "Layout", "size": 7881}, {"name": "NodeLinkTreeLayout", "size": 12870}, {"name": "PieLayout", "size": 2728}, {"name": "RadialTreeLayout", "size": 12348}, {"name": "RandomLayout", "size": 870}, {"name": "StackedAreaLayout", "size": 9121}, {"name": "TreeMapLayout", "size": 9191}]}, {"name": "Operator", "size": 2490}, {"name": "OperatorList", "size": 5248}, {"name": "OperatorSequence", "size": 4190}, {"name": "OperatorSwitch", "size": 2581}, {"name": "SortOperator", "size": 2023}]}, {"name": "Visualization", "size": 16540}]}]}';



  console.log(flareStr)
  flare=JSON.parse(flareStr);
  console.log(flare);

  root = flare;
  root.x0 = height / 2;
  root.y0 = 0;

  function parse_data(flare)
  {
  console.log("in Parse_data")


  root = flare;
  root.x0 = height / 2;
  root.y0 = 0;

      function collapse(d) {
        console.log("in collapse")
        if (d.children) {
          d._children = d.children;
          d._children.forEach(collapse);
          d.children = null;
        }
      }

  root.children.forEach(collapse);
  update(root);
  }

parse_data(flare);
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);
}

</script>

我以JSON字符串形式输入数据 - 为了生成这个，我使用了Python

import json
with open("flare.json","r") as ifp:
    jd=json.load(ifp)

#JD is a python type of dictionary now
type(jd)

#I would like a JSON_STRING However
jstr=json.dumps(jd)

然后我提取了jstr数据并将其放在 var 中，这是开始 var flareStr ='{“name”：“flare”，“children”：[{ “名称”：的

console.log（flareStr）让我可以看到网页上发生了什么 - 转到你的网页浏览器（我选择的是firefox）并查看源代码......

接下来，我解析字符串，使其成为一个合适的JSON对象......

flare=JSON.parse(flareStr);

因为我没有使用d3.json方法，所以我创建了自己的函数（注意：我不知道变量是js中的局部变量还是全局变量...所以你可能需要清除它。）< / p>

解析数据的方法取自原始代码 -

function parse_data(flare)
  {
  console.log("in Parse_data")


  root = flare;
  root.x0 = height / 2;
  root.y0 = 0;

      function collapse(d) {
        console.log("in collapse")
        if (d.children) {
          d._children = d.children;
          d._children.forEach(collapse);
          d.children = null;
        }
      }

  root.children.forEach(collapse);
  update(root);
  }

然后简单地通过

调用

parse_data(flare);

我希望这可以帮助别人。

如何从内部JSON数组而不是外部资源/文件加载d3.js中可折叠树的数据？

2 个答案: