我是JS和D3.js的初学者; my JSFiddle is here
JSHint没有显示错误,所以我认为我做错了D3。
我尝试在这些问题中做同样的事情,调整支路示例以在该平台之外运行:"Exporting" a Tributary example that makes use of the tributary object - d3.js和Getting horizontal stack bar example to display using d3.js(我甚至调整了与后者相同的代码)不幸的是,在答案
中没有更正的JSFiddle或其他示例这是我的代码:
var VanillaRunOnDomReady = function() {
var margins = {
top: 12,
left: 48,
right: 24,
bottom: 24
};
var data = [
{"key":"Nonviolent", "cat1":0.69, "cat2":0.21, "cat3":0.10},
{"key":"Violent", "cat1":0.53, "cat2":0.29, "cat3":0.18}
];
var catnames = {cat1: "No mental illness",
cat2: "Mild mental illness",
cat3: "Moderate or severe mental illness"};
var svg = d3.select('body')
.append('svg')
.attr('width', width + margins.left + margins.right)
.attr('height', height + margins.top + margins.bottom)
.append('g')
.attr('transform', 'translate(' + margins.left + ',' + margins.top + ')');
var n = 3, // number of layers
m = data.length, // number of samples per layer
stack = d3.layout.stack(),
labels = data.map(function(d) {return d.key;}),
//go through each layer (cat1, cat2 etc, that's the range(n) part)
//then go through each object in data and pull out that objects's catulation data
//and put it into an array where x is the index and y is the number
layers = stack(d3.range(n).map(function(d) {
var a = [];
for (var i = 0; i < m; ++i) {
a[i] = {x: i, y: data[i]['cat' + (d+1)]};
}
return a;
})),
//the largest single layer
yGroupMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y; }); }),
//the largest stack
yStackMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y0 + d.y; }); });
var margin = {top: 40, right: 10, bottom: 20, left: 50},
width = 677 - margin.left - margin.right,
height = 533 - margin.top - margin.bottom;
var y = d3.scale.ordinal()
.domain(d3.range(m))
.rangeRoundBands([2, height], 0.08);
var x = d3.scale.linear()
.domain([0, yStackMax])
.range([0, width]);
var color = d3.scale.linear()
.domain([0, n - 1])
.range(["#aad", "#556"]);
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) { return color(i); });
layer.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr("y", function(d) { return y(d.x); })
.attr("x", function(d) { return x(d.y0); })
.attr("height", y.rangeBand())
.attr("width", function(d) { return x(d.y); });
var yAxis = d3.svg.axis()
.scale(y)
.tickSize(1)
.tickPadding(6)
.tickValues(labels)
.orient("left");
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
};
答案 0 :(得分:2)
我认为你只是错过了一个();在函数结束时和分号之前。这将使它自动执行。我分叉你的fiddle。
var VanillaRunOnDomReady = function() {
var margins = {
top: 12,
left: 48,
right: 24,
bottom: 24
};
var data = [
{"key":"Nonviolent", "cat1":0.69, "cat2":0.21, "cat3":0.10},
{"key":"Violent", "cat1":0.53, "cat2":0.29, "cat3":0.18}
];
var catnames = {cat1: "No mental illness",
cat2: "Mild mental illness",
cat3: "Moderate or severe mental illness"};
var svg = d3.select('body')
.append('svg')
.attr('width', width + margins.left + margins.right)
.attr('height', height + margins.top + margins.bottom)
.append('g')
.attr('transform', 'translate(' + margins.left + ',' + margins.top + ')');
var n = 3, // number of layers
m = data.length, // number of samples per layer
stack = d3.layout.stack(),
labels = data.map(function(d) {return d.key;}),
//go through each layer (cat1, cat2 etc, that's the range(n) part)
//then go through each object in data and pull out that objects's catulation data
//and put it into an array where x is the index and y is the number
layers = stack(d3.range(n).map(function(d) {
var a = [];
for (var i = 0; i < m; ++i) {
a[i] = {x: i, y: data[i]['cat' + (d+1)]};
}
return a;
})),
//the largest single layer
yGroupMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y; }); }),
//the largest stack
yStackMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y0 + d.y; }); });
var margin = {top: 40, right: 10, bottom: 20, left: 50},
width = 677 - margin.left - margin.right,
height = 533 - margin.top - margin.bottom;
var y = d3.scale.ordinal()
.domain(d3.range(m))
.rangeRoundBands([2, height], 0.08);
var x = d3.scale.linear()
.domain([0, yStackMax])
.range([0, width]);
var color = d3.scale.linear()
.domain([0, n - 1])
.range(["#aad", "#556"]);
var svg = d3.select("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) { return color(i); });
layer.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr("y", function(d) { return y(d.x); })
.attr("x", function(d) { return x(d.y0); })
.attr("height", y.rangeBand())
.attr("width", function(d) { return x(d.y); });
var yAxis = d3.svg.axis()
.scale(y)
.tickSize(1)
.tickPadding(6)
.tickValues(labels)
.orient("left");
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
}();