我有以下 d3.js 代码,有助于创建分组条形图。我的数据由不同的州及其按年龄类别划分的人口组成。在此数据中,“德克萨斯州”和“纽约州”缺少几个年龄类别(14 至 17 岁、18 至 24 岁、25 至 44 岁)。因此,当我们使用这些数据创建分组条形图时,它会在条形之间创建空白空间以容纳丢失的数据。我们如何摆脱 d3.js 中条形图之间缺失数据的空白区域。 我在github中发现了同样的问题,但没有人给出解决方案。
@mbostock @jasondavies @gordonwoodhull @esjewett @vogievetsky @jheer @connorgr @Fil @petulla @tmcw @shikhaagrawal23 @gkumar100
<!DOCTYPE html>
<style>
.axis .domain {
display: none;
}
</style>
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 30, left: 40},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x0 = d3.scaleBand()
.rangeRound([0, width])
.paddingInner(0.1);
var x1 = d3.scaleBand()
.padding(0.05);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var data = [
{
"State": "CA",
"Under 5 Years": 2704659,
"5 to 13 Years": 4499890,
"14 to 17 Years": 2159981,
"18 to 24 Years": 3853788,
"25 to 44 Years": 10604510,
"45 to 64 Years": 8819342,
"65 Years and Over": 4114496
},
{
"State": "TX",
"Under 5 Years": 2027307,
"5 to 13 Years": 3277946,
"45 to 64 Years": 5656528,
"65 Years and Over": 2472223
},
{
"State": "NY",
"Under 5 Years": 1208495,
"5 to 13 Years": 2141490,
"25 to 44 Years": 5355235,
"45 to 64 Years": 5120254,
"65 Years and Over": 2607672
},
{
"State": "FL",
"Under 5 Years": 1140516,
"5 to 13 Years": 1938695,
"14 to 17 Years": 925060,
"18 to 24 Years": 1607297,
"25 to 44 Years": 4782119,
"45 to 64 Years": 4746856,
"65 Years and Over": 3187797
},
{
"State": "IL",
"Under 5 Years": 894368,
"5 to 13 Years": 1558919,
"14 to 17 Years": 725973,
"18 to 24 Years": 1311479,
"25 to 44 Years": 3596343,
"45 to 64 Years": 3239173,
"65 Years and Over": 1575308
},
{
"State": "PA",
"Under 5 Years": 737462,
"5 to 13 Years": 1345341,
"14 to 17 Years": 679201,
"18 to 24 Years": 1203944,
"25 to 44 Years": 3157759,
"45 to 64 Years": 3414001,
"65 Years and Over": 1910571
}
];
var keys = Object.keys(data[0]);
keys = keys.slice(1);
x0.domain(data.map(function(d) { return d.State; }));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) { return d3.max(keys, function(key) { return d[key]; }); })]).nice();
g.append("g")
.selectAll("g")
.data(data)
.enter().append("g")
.attr("transform", function(d) { return "translate(" + x0(d.State) + ",0)"; })
.selectAll("rect")
.data(function(d) { return keys.map(function(key) { return {key: key, value: d[key]}; }); })
.enter().append("rect")
.attr("x", function(d) { return x1(d.key); })
.attr("y", function(d) { return y(d.value); })
.attr("width", x1.bandwidth())
.attr("height", function(d) { return height - y(d.value); })
.attr("fill", function(d) { return z(d.key); });
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text("Population");
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 19)
.attr("width", 19)
.attr("height", 19)
.attr("fill", z);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) { return d; });
</script>
</html>
我付出了很多努力来解决这个问题,并尝试使你的代码动态化以适应各种情况。请检查一下。
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 30, left: 40},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x0 = d3.scaleBand()
.rangeRound([0, width])
.paddingInner(0.1);
var x1 = d3.scaleBand()
.padding(0.05);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var data = [
{
"State": "CA",
"Under 5 Years": 2704659,
"5 to 13 Years": 4499890,
"14 to 17 Years": 2159981,
"18 to 24 Years": 3853788,
"25 to 44 Years": 10604510,
"45 to 64 Years": 8819342,
"65 Years and Over": 4114496
},
{
"State": "TX",
"Under 5 Years": 2027307,
"5 to 13 Years": 3277946,
"45 to 64 Years": 5656528,
"65 Years and Over": 2472223
},
{
"State": "NY",
"Under 5 Years": 1208495,
"5 to 13 Years": 2141490,
"25 to 44 Years": 5355235,
"45 to 64 Years": 5120254,
"65 Years and Over": 2607672
},
{
"State": "FL",
"Under 5 Years": 1140516,
"5 to 13 Years": 1938695,
"14 to 17 Years": 925060,
"18 to 24 Years": 1607297,
"25 to 44 Years": 4782119,
"45 to 64 Years": 4746856,
"65 Years and Over": 3187797
},
{
"State": "IL",
"Under 5 Years": 894368,
"5 to 13 Years": 1558919,
"14 to 17 Years": 725973,
"18 to 24 Years": 1311479,
"25 to 44 Years": 3596343,
"45 to 64 Years": 3239173,
"65 Years and Over": 1575308
},
{
"State": "PA",
"Under 5 Years": 737462,
"5 to 13 Years": 1345341,
"14 to 17 Years": 679201,
"18 to 24 Years": 1203944,
"25 to 44 Years": 3157759,
"45 to 64 Years": 3414001,
"65 Years and Over": 1910571
}
];
var legthList = data.map((d,i) => {
return Object.keys(d).length
});
var maxLegth = (Math.max(...legthList)-1)
var findMaxObjPro = data.filter((el => Object.keys(el).length === maxLegth+1))
var keys = Object.keys(findMaxObjPro[0]);
keys = keys.slice(1);
x0.domain(data.map(function(d) { return d.State; }));
x1.domain(keys).rangeRound([0, x0.bandwidth()]);
y.domain([0, d3.max(data, function(d) { return d3.max(keys, function(key) { return d[key]; }); })]).nice();
g.append("g")
.selectAll("g")
.data(data)
.enter().append("g")
.attr("transform", function(d) {
let {State,...rest} = d
let localKeys = Object.keys(rest)
let bandwidth = (x1.bandwidth()*(maxLegth-localKeys.length))/2;
return "translate(" + (x0(d.State)+bandwidth) + ",0)";
})
.selectAll("rect")
.data(function(d) {
// remove State field
let {State,...rest} = d
let localKeys = Object.keys(rest)
return localKeys.map(function(key) { return {key: key, value: d[key]}; }); })
.enter().append("rect")
.attr("x", function(d,i) {
return (x1(keys[0]) + i*(x1.bandwidth()))
})
.attr("y", function(d) { return y(d.value); })
.attr("width", x1.bandwidth())
.attr("height", function(d) { return height - y(d.value); })
.attr("fill", function(d) { return z(d.key); });
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text("Population");
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 19)
.attr("width", 19)
.attr("height", 19)
.attr("fill", z);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) { return d; });
.axis .domain {
display: none;
}
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>