首先,道歉,因为我是新手。我一直试图修改出现在这里的Kerryrodden的森伯斯特:
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。下面是.js文件和我创建的.json文件。
非常感谢任何有关这些的帮助
此致
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}
]
}
]
}
答案 0 :(得分:0)
事实证明这很容易。你只需使用这段代码:
d3.json(<path to your file cohorts2.json>, function(error, json) {
createVisualization(json);
});
而不是原始示例中的对应代码。
我甚至制作了一个jsfiddle来显示该代码所取得的成果:(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也没有允许使用json文件,所以我只使用了javascript变量,但效果应该完全相同)