var data = [
{month: 'data', A: 20, B: 5, C: 10},
];
var xData = ["A", "B", "C"];
var margin = {top: 20, right: 50, bottom: 30, left: 0},
width = 350 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .35);
var y = d3.scale.linear()
.rangeRound([height, 0]);
var color = d3.scale.category20();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var svg = d3.select("#chart").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 dataIntermediate = xData.map(function (c) {
return data.map(function (d) {
return {x: d.month, y: d[c]};
});
});
var dataStackLayout = d3.layout.stack()(dataIntermediate);
x.domain(dataStackLayout[0].map(function (d) {
return d.x;
}));
y.domain([0,
d3.max(dataStackLayout[dataStackLayout.length - 1],
function (d) { return d.y0 + d.y;})
])
.nice();
var layer = svg.selectAll(".stack")
.data(dataStackLayout)
.enter().append("g")
.attr("class", "stack")
.style("fill", function (d, i) {
return color(i);
});
layer.selectAll("rect")
.data(function (d) {
return d;
})
.enter().append("rect")
.attr("x", function (d) {
return x(d.x);
})
.attr("y", function (d) {
return y(d.y + d.y0);
})
.attr("height", function (d) {
return y(d.y0) - y(d.y + d.y0);
})
.attr("width", x.rangeBand());
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);

body {
background-color: #ccc;
width: 100%;
font-family: 'Roboto', sans-serif;
height: 100%;
}
.widget {
margin: 0 auto;
width:350px;
margin-top:50px;
background-color:#fff;
-background-color: #222D3A;
border-radius: 5px;
box-shadow: 1px 1px 4px 0px rgba(0,0,0,0.3);
}
.header{
background-color: #eee;
height:40px;
color:#555;
text-align: center;
line-height: 40px;
border-top-left-radius: 7px;
border-top-right-radius: 7px;
font-weight: 400;
font-size: 1.5em;
text-shadow: 1px 1px #fff;
border-bottom: 1px solid #eaeaea;
}
.chart-container{
padding:25px;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}

<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<div class="widget">
<div class="header">Stacked Bar Chart</div>
<div id="chart" class="chart-container">
</div>
</div>
&#13;
我试图使用perctage使用堆叠条创建d3.js。任何人都可以帮助我使用像这个图像的百分比制作这个条形图。演示会非常感激。或者对此的任何参考。
下面的代码是我尝试使用的示例.1显示百分比的单个堆栈条形图。基于值
答案 0 :(得分:1)
我们首先得到所有酒吧的总和。你的数据显然是35,但让我们不用硬编码就可以了:
var sum = 0;
dataStackLayout.forEach(d => {
sum += d[0].y
});
然后,我们创建文本元素:
layer.selectAll("foo")
.data(function(d) {
return d;
})
.enter().append("text")
.attr("x", function(d) {
return x(d.x) + x.rangeBand() + 4;
})
.attr("y", function(d) {
return (y(d.y + d.y0) + y(d.y0)) / 2;
})
.text(d => format(d.y / sum))
为了定位文本,我们使用相同的数学算法。对于文本的值,我们首先设置D3格式:
var format = d3.format(".2%")
然后我们简单地将每个d.y
除以总和。
.text(d => format(d.y / sum))
这是您更新的代码:
var data = [{
month: 'data',
A: 20,
B: 5,
C: 10
}, ];
var format = d3.format(".2%")
var xData = ["A", "B", "C"];
var margin = {
top: 20,
right: 50,
bottom: 30,
left: 0
},
width = 350 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .35);
var y = d3.scale.linear()
.rangeRound([height, 0]);
var color = d3.scale.category20();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var svg = d3.select("#chart").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 dataIntermediate = xData.map(function(c) {
return data.map(function(d) {
return {
x: d.month,
y: d[c]
};
});
});
var dataStackLayout = d3.layout.stack()(dataIntermediate);
x.domain(dataStackLayout[0].map(function(d) {
return d.x;
}));
y.domain([0,
d3.max(dataStackLayout[dataStackLayout.length - 1],
function(d) {
return d.y0 + d.y;
})
])
.nice();
var sum = 0;
dataStackLayout.forEach(d => {
sum += d[0].y
});
var layer = svg.selectAll(".stack")
.data(dataStackLayout)
.enter().append("g")
.attr("class", "stack")
.style("fill", function(d, i) {
return color(i);
});
layer.selectAll("foo")
.data(function(d) {
return d;
})
.enter().append("text")
.attr("x", function(d) {
return x(d.x) + x.rangeBand() + 4;
})
.attr("y", function(d) {
return (y(d.y + d.y0) + y(d.y0)) / 2;
})
.text(d => format(d.y / sum))
layer.selectAll("rect")
.data(function(d) {
return d;
})
.enter().append("rect")
.attr("x", function(d) {
return x(d.x);
})
.attr("y", function(d) {
return y(d.y + d.y0);
})
.attr("height", function(d) {
return y(d.y0) - y(d.y + d.y0);
})
.attr("width", x.rangeBand());
svg.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
body {
background-color: #ccc;
width: 100%;
font-family: 'Roboto', sans-serif;
height: 100%;
}
.widget {
margin: 0 auto;
width: 350px;
margin-top: 50px;
background-color: #fff;
-background-color: #222D3A;
border-radius: 5px;
box-shadow: 1px 1px 4px 0px rgba(0, 0, 0, 0.3);
}
.header {
background-color: #eee;
height: 40px;
color: #555;
text-align: center;
line-height: 40px;
border-top-left-radius: 7px;
border-top-right-radius: 7px;
font-weight: 400;
font-size: 1.5em;
text-shadow: 1px 1px #fff;
border-bottom: 1px solid #eaeaea;
}
.chart-container {
padding: 25px;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<div class="widget">
<div class="header">Stacked Bar Chart</div>
<div id="chart" class="chart-container">
</div>
</div>