我想创建一个像http://bl.ocks.org/mbostock/3886208这样的堆叠条形图。但是我不想使用CSV文件。
如何使用数组或JSON数据创建堆叠图表?
在csv中我们这样使用:
State,Post,Comment
AL,310504,552339
AK,52083,85640
如何在数组或json中定义数据，如
var data = []
这样做
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.x.axis path {
display: none;
}
</style>
<body>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var y = d3.scale.linear()
.rangeRound([height, 0]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format(".2s"));
var svg = d3.select("body").append("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 data = [
{
"State": "AL",
"Under 5 Years": 10,
"5 to 13 Years": 20,
"14 to 17 Years": 30,
"18 to 24 Years": 40,
"25 to 44 Years": 50,
"45 to 64 Years": 60,
"65 Years and Over": 70
},{
"State": "AK",
"Under 5 Years": 15,
"5 to 13 Years": 25,
"14 to 17 Years": 35,
"18 to 24 Years": 45,
"25 to 44 Years": 55,
"45 to 64 Years": 65,
"65 Years and Over": 75
}];
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "State"; }));
data.forEach(function(d) {
var y0 = 0;
d.ages = color.domain().map(function(name) { return {name: name, y0: y0, y1: y0 += +d[name]}; });
d.total = d.ages[d.ages.length - 1].y1;
});
data.sort(function(a, b) { return b.total - a.total; });
x.domain(data.map(function(d) { return d.State; }));
y.domain([0, d3.max(data, function(d) { return d.total; })]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Population");
var state = svg.selectAll(".state")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x(d.State) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.y1); })
.attr("height", function(d) { return y(d.y0) - y(d.y1); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(color.domain().slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
</script>
我知道回复这个很晚了。我修改了@heshjse的D3版本4的代码。当我用d3 v3尝试上述代码时，它工作得很好。但我们有限制使用版本4，我遇到了问题，因为一些变化在d3 v4。所以添加了对我有用的代码。我希望这对你有帮助。
这应该工作良好的Json格式在d3 v4。
<!DOCTYPE html>
<html>
<head>
<title></title>
<meta charset="utf-8" />
</head>
<body>
<div id="Dash"></div>
</body>
</html>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
<script>
$(document).ready(function () {
drawStackChart();
});
//Draw Stack Chart
var marginStackChart = { top: 20, right: 20, bottom: 30, left: 40 },
widthStackChart = 500 - marginStackChart.left - marginStackChart.right,
heightStackChart = 300 - marginStackChart.top - marginStackChart.bottom;
var xStackChart = d3.scaleBand()
.range([0, widthStackChart])
.padding(0.1);
var yStackChart = d3.scaleLinear()
.range([heightStackChart, 0]);
var colorStackChart = d3.scaleOrdinal(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"])
var canvasStackChart = d3.select("#Dash").append("svg")
.attr("width", widthStackChart + marginStackChart.left + marginStackChart.right)
.attr("height", heightStackChart + marginStackChart.top + marginStackChart.bottom)
.append("g")
.attr("transform", "translate(" + marginStackChart.left + "," + marginStackChart.top + ")");
function drawStackChart() {
var data = [
{
"Year": "2012",
"Category1": "20",
"Category2": "5",
"Category3": "5",
"Category4": "5",
"Category5": "5",
"Category6": "5",
"Category7": "5",
"Category8": "5",
"Category9": "5"
},
{
"Year": "2013",
"Category1": "30",
"Category2": "10",
"Category3": "10",
"Category4": "10",
"Category5": "10",
"Category6": "10",
"Category7": "10",
"Category8": "10",
"Category9": "10"
},
{
"Year": "2014",
"Category1": "35",
"Category2": "15",
"Category3": "15",
"Category4": "15",
"Category5": "15",
"Category6": "15",
"Category7": "15",
"Category8": "15",
"Category9": "15"
},
{
"Year": "2015",
"Category1": "60",
"Category2": "20",
"Category3": "20",
"Category4": "20",
"Category5": "20",
"Category6": "20",
"Category7": "20",
"Category8": "20",
"Category9": "20"
},
{
"Year": "2016",
"Category1": "70",
"Category2": "40",
"Category3": "40",
"Category4": "40",
"Category5": "40",
"Category6": "40",
"Category7": "40",
"Category8": "40",
"Category9": "40"
}
];
colorStackChart.domain(d3.keys(data[0]).filter(function (key) { return key !== "Year"; }));
data.forEach(function (d) {
var y0 = 0;
d.ages = colorStackChart.domain().map(function (name) { return { name: name, y0: y0, y1: y0 += +d[name] }; });
d.total = d.ages[d.ages.length - 1].y1;
});
data.sort(function (a, b) { return b.total - a.total; });
xStackChart.domain(data.map(function (d) { return d.Year; }));
yStackChart.domain([0, d3.max(data, function (d) { return d.total; })]);
canvasStackChart.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + heightStackChart + ")")
.call(d3.axisBottom(xStackChart));
canvasStackChart.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(yStackChart))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("No Of Buildings");
var state = canvasStackChart.selectAll(".Year")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function (d) { return "translate(" + xStackChart(d.Year) + ",0)"; });
state.selectAll("rect")
.data(function (d) { return d.ages; })
.enter().append("rect")
.attr("width", xStackChart.bandwidth())
.attr("y", function (d) { return yStackChart(d.y1); })
.attr("height", function (d) { return yStackChart(d.y0) - yStackChart(d.y1); })
.style("fill", function (d) { return colorStackChart(d.name); });
var legend = canvasStackChart.selectAll(".legend")
.data(colorStackChart.domain().slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function (d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", widthStackChart - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", colorStackChart);
legend.append("text")
.attr("x", widthStackChart - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function (d) { return d; });
}
</script>
如果您有一个数组data，您可以像在您链接的示例中的csv函数中使用参数data一样使用它。如果您的数据格式相同，该函数中的代码将按预期工作。
如果你可以在浏览器中设置断点，你可以很容易地看到它的格式，在js中的csv函数调用中设置一个断点，然后查看data变量