尝试创建 d3 sunburst 可视化的问题

Question

首先，很抱歉，因为我是新手。我一直在尝试修改此处出现的 Kerryrodden 的旭日形：

http://bl.ocks.org/kerryrodden/7090426

我正在尝试修改代码以使用 .json 文件而不是 .csv 文件。我认为这将是直截了当的，但我遇到了问题。下面附上我创建的.js文件和.json文件。

任何有关这些的帮助将不胜感激

问候

sequence.js

// Dimensions of sunburst.
var width = 750;
var height = 600;
var radius = Math.min(width, height) / 2;

// Breadcrumb dimensions: width, height, spacing, width of tip/tail.
var b = {
  w: 75, h: 30, s: 3, t: 10
};

// Mapping of step names to colors.
var colors = {
  "june11": "#5687d1",
  "atts": "#7b615c",
  "jo": "#de783b",
  "sus1": "#6ab975",
  "sus5": "#a173d1",
  "sus9": "#8A2BE2",
  "sus13": "#5F9EA0",
  "early": "#008B8B",
  "jcp": "#FF1493",
  "jcpaft": "#B22222",
  "stillon": "#FFFFF0",
  "allsus": "#7CFC00",
  "nosus": "#9ACD32"
};

// Total size of all segments; we set this later, after loading the data.
var totalSize = 0; 

var vis = d3.select("#chart").append("svg:svg")
    .attr("width", width)
    .attr("height", height)
    .append("svg:g")
    .attr("id", "container")
    .attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");

var partition = d3.layout.partition()
    .size([2 * Math.PI, radius * radius])
    .value(function(d) { return d.size; });

var arc = d3.svg.arc()
    .startAngle(function(d) { return d.x; })
    .endAngle(function(d) { return d.x + d.dx; })
    .innerRadius(function(d) { return Math.sqrt(d.y); })
    .outerRadius(function(d) { return Math.sqrt(d.y + d.dy); });

d3.json("flare.json", function(error, json) {
createVisualization(json);
});

// Main function to draw and set up the visualization, once we have the data.
function createVisualization() {

  // Basic setup of page elements.
  initializeBreadcrumbTrail();
  drawLegend();
  d3.select("#togglelegend").on("click", toggleLegend);

  // Bounding circle underneath the sunburst, to make it easier to detect
  // when the mouse leaves the parent g.
  vis.append("svg:circle")
      .attr("r", radius)
      .style("opacity", 0);

  // For efficiency, filter nodes to keep only those large enough to see.
  var nodes = partition.nodes(json)
      .filter(function(d) {
      return (d.dx > 0.005); // 0.005 radians = 0.29 degrees
      });

    var path = vis.data([json]).selectAll("path")
      .data(nodes)
      .enter().append("svg:path")
      .attr("display", function(d) { return d.depth ? null : "none"; })
      .attr("d", arc)
      .attr("fill-rule", "evenodd")
      .style("fill", function(d) { return colors[d.name]; })
      .style("opacity", 1)
      .on("mouseover", mouseover);

  // Add the mouseleave handler to the bounding circle.
  d3.select("#container").on("mouseleave", mouseleave);

  // Get total size of the tree = value of root node from partition.
  totalSize = path.node().__data__.value;
 };


// Fade all but the current sequence, and show it in the breadcrumb trail.
function mouseover(d) {

  var percentage = (100 * d.value / totalSize).toPrecision(3);
  var percentageString = percentage + "%";
  if (percentage < 0.1) {
    percentageString = "< 0.1%";
  }

  d3.select("#percentage")
      .text(percentageString);

  d3.select("#explanation")
      .style("visibility", "");

  var sequenceArray = getAncestors(d);
  updateBreadcrumbs(sequenceArray, percentageString);

  // Fade all the segments.
  d3.selectAll("path")
      .style("opacity", 0.3);

  // Then highlight only those that are an ancestor of the current segment.
  vis.selectAll("path")
      .filter(function(node) {
                return (sequenceArray.indexOf(node) >= 0);
              })
      .style("opacity", 1);
}

// Restore everything to full opacity when moving off the visualization.
function mouseleave(d) {

  // Hide the breadcrumb trail
  d3.select("#trail")
      .style("visibility", "hidden");

  // Deactivate all segments during transition.
  d3.selectAll("path").on("mouseover", null);

  // Transition each segment to full opacity and then reactivate it.
  d3.selectAll("path")
      .transition()
      .duration(1000)
      .style("opacity", 1)
      .each("end", function() {
              d3.select(this).on("mouseover", mouseover);
            });

  d3.select("#explanation")
      .transition()
      .duration(1000)
      .style("visibility", "hidden");
}

// Given a node in a partition layout, return an array of all of its ancestor
// nodes, highest first, but excluding the root.
function getAncestors(node) {
  var path = [];
  var current = node;
  while (current.parent) {
    path.unshift(current);
    current = current.parent;
  }
  return path;
}

function initializeBreadcrumbTrail() {
  // Add the svg area.
  var trail = d3.select("#sequence").append("svg:svg")
      .attr("width", width)
      .attr("height", 50)
      .attr("id", "trail");
  // Add the label at the end, for the percentage.
  trail.append("svg:text")
    .attr("id", "endlabel")
    .style("fill", "#000");
}

// Generate a string that describes the points of a breadcrumb polygon.
function breadcrumbPoints(d, i) {
  var points = [];
  points.push("0,0");
  points.push(b.w + ",0");
  points.push(b.w + b.t + "," + (b.h / 2));
  points.push(b.w + "," + b.h);
  points.push("0," + b.h);
  if (i > 0) { // Leftmost breadcrumb; don't include 6th vertex.
    points.push(b.t + "," + (b.h / 2));
  }
  return points.join(" ");
}

// Update the breadcrumb trail to show the current sequence and percentage.
function updateBreadcrumbs(nodeArray, percentageString) {

  // Data join; key function combines name and depth (= position in sequence).
  var g = d3.select("#trail")
      .selectAll("g")
      .data(nodeArray, function(d) { return d.name + d.depth; });

  // Add breadcrumb and label for entering nodes.
  var entering = g.enter().append("svg:g");

  entering.append("svg:polygon")
      .attr("points", breadcrumbPoints)
      .style("fill", function(d) { return colors[d.name]; });

  entering.append("svg:text")
      .attr("x", (b.w + b.t) / 2)
      .attr("y", b.h / 2)
      .attr("dy", "0.35em")
      .attr("text-anchor", "middle")
      .text(function(d) { return d.name; });

  // Set position for entering and updating nodes.
  g.attr("transform", function(d, i) {
    return "translate(" + i * (b.w + b.s) + ", 0)";
  });

  // Remove exiting nodes.
  g.exit().remove();

  // Now move and update the percentage at the end.
  d3.select("#trail").select("#endlabel")
      .attr("x", (nodeArray.length + 0.5) * (b.w + b.s))
      .attr("y", b.h / 2)
      .attr("dy", "0.35em")
      .attr("text-anchor", "middle")
      .text(percentageString);

  // Make the breadcrumb trail visible, if it's hidden.
  d3.select("#trail")
      .style("visibility", "");

}

function drawLegend() {

  // Dimensions of legend item: width, height, spacing, radius of rounded rect.
  var li = {
    w: 75, h: 30, s: 3, r: 3
  };

  var legend = d3.select("#legend").append("svg:svg")
      .attr("width", li.w)
      .attr("height", d3.keys(colors).length * (li.h + li.s));

  var g = legend.selectAll("g")
      .data(d3.entries(colors))
      .enter().append("svg:g")
      .attr("transform", function(d, i) {
              return "translate(0," + i * (li.h + li.s) + ")";
           });

  g.append("svg:rect")
      .attr("rx", li.r)
      .attr("ry", li.r)
      .attr("width", li.w)
      .attr("height", li.h)
      .style("fill", function(d) { return d.value; });

  g.append("svg:text")
      .attr("x", li.w / 2)
      .attr("y", li.h / 2)
      .attr("dy", "0.35em")
      .attr("text-anchor", "middle")
      .text(function(d) { return d.key; });
}

function toggleLegend() {
  var legend = d3.select("#legend");
  if (legend.style("visibility") == "hidden") {
    legend.style("visibility", "");
  } else {
    legend.style("visibility", "hidden");
  }
}

cohorts2.json

{
 "name": "ref",
 "children": [
  {
   "name": "june11",
   "children": [
    {
     "name": "atts",
         "children": [
          {"name": "early", "size": 11},
          {"name": "jcp", "size": 40},
          {"name": "jcpaft", "size": 50},
          {"name": "stillon", "size": 195},
          {"name": "jo",

             "children": [
              {"name": "early",  "size": 100},
              {"name": "jcp", "size": 67},
              {"name": "jcpaft", "size": 110},
                 {"name": "stillon", "size": 154},

               {"name": "sus1",      
                "children": [
                  {"name": "early",  "size": 11},
                    {"name": "jcp", "size": 118},
                  {"name": "jcpaft", "size": 39},
                      {"name": "stillon", "size": 2779}
                  ]
                },

               {"name": "sus5",
                 "children": [
                  {"name": "early",  "size": 0},
                  {"name": "jcp", "size": 64},
                  {"name": "jcpaft", "size": 410},
                     {"name": "stillon", "size": 82}
                  ]
                },

               {"name": "sus9",
                 "children": [
                  {"name": "early",  "size": 1018},
                  {"name": "jcp", "size": 3458},
                  {"name": "jcpaft", "size": 106},
                     {"name": "stillon", "size": 243}
                  ]
                },

               {"name": "sus13",
                 "children": [
                  {"name": "early",  "size": 110},
                  {"name": "jcp", "size": 190},
                  {"name": "jcpaft", "size": 80},
                     {"name": "stillon", "size": 9190},
                     {"name": "allsus", "size": 3970}
                     ]
                    }

                 ]
              }
         ]
        },

      {"name": "noatt", "size": 30}
    ]
    }

 ]
}

Answer 1

事实证明这真的很容易。您只需使用以下代码：

d3.json(<path to your file cohorts2.json>, function(error, json) {
    createVisualization(json);
});

而不是原始示例中的相应代码。

我什至制作了一个jsfiddle，显示了使用该代码实现了什么：（请注意，您需要修复图例和着色，因为它们在原始示例中是“硬编码”的；jsfiddle 也不允许使用json文件，所以我只是用javascript变量代替，但效果应该完全一样）