我有一些数据和JS代码来生成D3直方图。这是我的代码:
var values = dataDict[key]['data'];
var confidence_interval = dataDict[key]['ci'];
var margin = {top: 10, right: 30, bottom: 30, left: 30},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var domain = [Math.floor(d3.min(values)) - 1, Math.ceil(d3.max(values)) + 1];
var x = d3.scale.linear()
.domain(domain)
.range([0, width]);
var numbins = 150;
var data = d3.layout.histogram()
.bins(x.ticks(numbins))
(values);
var y = d3.scale.linear()
.domain([0, d3.max(data, function(d) { return d.y; })])
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var svg = d3.select('#' + distributionGraph.id).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 bar = svg.selectAll(".bar")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function (d) {
return "translate(" + x(d.x) + "," + y(d.y) + ")";
});
bar.append("rect")
.attr("x", 1)
.attr("width", x(data[0].x + data[0].dx) - 1)
.attr("height", function(d) { return height - y(d.y); });
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
这会生成如下图:
我想添加一些东西来显示95%的置信区间。我已经计算了间隔,我只想知道如何添加图形。
我想添加这样的内容:
超越我已经拥有的直方图
在我的例子中,我会在-0.98和3.45标记处添加两条垂直线,在这两条垂直线之间,我想更改直方图中条形的颜色。我该怎么做呢?
答案 0 :(得分:2)
假设您在变量ciMin
和ciMax
中有置信区间。您可以使用以下内容更改条形图的颜色:
bar.append("rect")
.attr("x", 1)
.attr("width", x(data[0].x + data[0].dx) - 1)
.attr("height", function(d) {
return height - y(d.y);
})
.style('fill', function(d){
return (d.x > ciMin && d.x < ciMax) ? 'orange' : 'steelblue'; // set color based on where it is
});
要添加这些行,我会对生成的数据使用bisector。平分线将允许您找到ciMin和ciMax所在的相应y值:
var bisect = d3.bisector(function(d) { return d.x; });
var biMin = bisect.right(data, ciMin),
biMax = bisect.left(data, ciMax);
然后添加以下行:
var ci = svg.append('g')
.attr('class','ci');
ci
.append('line')
.attr('x1', x(data[biMin].x))
.attr('x2', x(data[biMin].x))
.attr('y1', height)
.attr('y2', y(data[biMin].y))
.style('stroke','black')
.style('stroke-width', 5);
ci.append('line')
.attr('x1', x(data[biMax].x))
.attr('x2', x(data[biMax].x))
.attr('y1', height)
.attr('y2', y(data[biMax].y))
.style('stroke','black')
.style('stroke-width', 5);
示例代码:
<!DOCTYPE html>
<html>
<head>
<script data-require="d3@3.5.3" data-semver="3.5.3" src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.3/d3.js"></script>
<link rel="stylesheet" href="style.css" />
<script src="script.js"></script>
</head>
<body>
<script>
//var values = dataDict[key]['data'];
//var confidence_interval = dataDict[key]['ci'];
var ciMin = 0.3,
ciMax = 0.7;
var values = d3.range(1000).map(d3.random.bates(5));
var margin = {
top: 10,
right: 30,
bottom: 30,
left: 30
},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var domain = [Math.floor(d3.min(values)) - 1, Math.ceil(d3.max(values)) + 1];
var x = d3.scale.linear()
.domain(domain)
.range([0, width]);
var numbins = 150;
var data = d3.layout.histogram()
.bins(x.ticks(numbins))
(values);
console.log(data);
var y = d3.scale.linear()
.domain([0, d3.max(data, function(d) {
return d.y;
})])
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
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 bar = svg.selectAll(".bar")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function(d) {
return "translate(" + x(d.x) + "," + y(d.y) + ")";
});
bar.append("rect")
.attr("x", 1)
.attr("width", x(data[0].x + data[0].dx) - 1)
.attr("height", function(d) {
return height - y(d.y);
})
.style('fill', function(d){
return (d.x > ciMin && d.x < ciMax) ? 'orange' : 'steelblue'
});
var bisect = d3.bisector(function(d) { return d.x; });
var biMin = bisect.right(data, ciMin),
biMax = bisect.left(data, ciMax);
var ci = svg.append('g')
.attr('class','ci');
ci
.append('line')
.attr('x1', x(data[biMin].x))
.attr('x2', x(data[biMin].x))
.attr('y1', height)
.attr('y2', y(data[biMin].y))
.style('stroke','black')
.style('stroke-width', 5);
ci.append('line')
.attr('x1', x(data[biMax].x))
.attr('x2', x(data[biMax].x))
.attr('y1', height)
.attr('y2', y(data[biMax].y))
.style('stroke','black')
.style('stroke-width', 5);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
</script>
</body>
</html>
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