我是d3 javascript的初学者,我不知道如何更改此分组条形图上的y轴:
http://bl.ocks.org/mbostock/3887051数据+代码可在此处找到
这是网站的代码&分组条形图的数据:
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="http://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 x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis() //creating a generic axis function//
.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 + ")");
d3.csv("gender_ratio.csv", function(error, data) {
var ageNames = d3.keys(data[0]).filter(function(key) { return key !== "Perioden"; });
data.forEach(function(d) {
d.ages = ageNames.map(function(name) { return {name: name, value: +d[name]*1000}; });
});
x0.domain(data.map(function(d) { return d.Perioden; }));
x1.domain(ageNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.ages, function(d) { return d.value; }); })]);
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 Perioden = svg.selectAll(".Perioden")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.Perioden) + ",0)"; });
Perioden.selectAll("rect")
.data(function(d) { return d.ages; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.name); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.name); });
var legend = svg.selectAll(".legend")
.data(ageNames.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>
数据:
State,Under 5 Years,5 to 13 Years,14 to 17 Years,18 to 24 Years,25 to 44 Years,45 to 64 Years,65 Years and Over
CA,2704659,4499890,2159981,3853788,10604510,8819342,4114496
TX,2027307,3277946,1420518,2454721,7017731,5656528,2472223
NY,1208495,2141490,1058031,1999120,5355235,5120254,2607672
FL,1140516,1938695,925060,1607297,4782119,4746856,3187797
IL,894368,1558919,725973,1311479,3596343,3239173,1575308
PA,737462,1345341,679201,1203944,3157759,3414001,1910571
答案 0 :(得分:2)
如果您的x轴是常规旧数字数据,则应使用linear
比例而不是ordinal
。序数是指离散值(想想a,b,c或x,y,z或tom,dick,harry),而线性是指连续数据(想想1,2,3或50,100,150):
var x = d3.scale.linear()
.range([0, width])
.domain([1650, 1700]);
在d3
中,范围是数据的像素范围(从最小到最大),而域是您的用户空间范围数据(数据值的最小值和最大值)。然后返回的比例将用户空间数据映射到它的像素空间位置。
以下是简单d3
条形图的评论很多示例:
<!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="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script>
// sample data with x and y values
// d3 likes arrays of objects
var data = [
{
x: 1660,
y: 1
},{
x: 1670,
y: 2
},{
x: 1680,
y: 3
},{
x: 1690,
y: 4
}
];
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.linear()
.range([0,width]) // our pixel span
.domain([1650, 1700]); // our user space data span
var y = d3.scale.linear()
.range([height, 0]) // same thing as x, pixel span
.domain([0,5]); // user space space
// marry the scale to the axis
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
// set up our svg tag
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 + ")");
// draw x axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// draw y axis
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
// get a nice bar width
// it is the width of our axis divided by the number of ticks
var barWidth = (width / xAxis.ticks()[0]);
// draw the bars
var state = svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class","bar")
.attr("width", barWidth)
.attr("x", function(d) { return x(d.x) - (barWidth / 2); }) // center it on tick
.attr("y", function(d) { return y(d.y); }) // y is the top of the bar
.attr("height", function(d) { return height - y(d.y); }); // and height goes to axis
</script>
</body>
</html>