我是D3＆JS的新手，并且大多数时候都在使用示例图表来更改它们以满足我的需求。我一直在使用带有json文件的静态条形图，但最近想跳入可以与用户需要查看的内容进行交互的条形图。我知道我需要更改数据引用，但是我不知道如何更改它而不弄乱代码，尤其是对于可点击的图例。
示例网址：http://bl.ocks.org/KatiRG/5f168b5c884b1f9c36a5
这是我正在使用的代码
<!--helped by: http://bl.ocks.org/yuuniverse4444/8325617-->
<!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;
}
.tooltip{
text-anchor: middle;
font-family: sans-serif;
font-size: 10px;
font-weight: bold;
fill:black;
}
</style>
<body>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.13/d3.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 active_link = "0"; //to control legend selections and hover
var legendClicked; //to control legend selections
var legendClassArray = []; //store legend classes to select bars in plotSingle()
var y_orig; //to store original y-posn
d3.csv("state_data.csv", function(error, data) {
if (error) throw error;
color.domain(d3.keys(data[0]).filter(function(key) { return key !== "State"; }));
data.forEach(function(d) {
var mystate = d.State; //add to stock code
var y0 = 0;
//d.ages = color.domain().map(function(name) { return {name: name, y0: y0, y1: y0 += +d[name]}; });
d.ages = color.domain().map(function(name) { return {mystate:mystate, 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(" + "0" + ",0)"; });
//.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("x",function(d) { //add to stock code
return x(d.mystate)
})
.attr("height", function(d) { return y(d.y0) - y(d.y1); })
.attr("class", function(d) {
classLabel = d.name.replace(/\s/g, ''); //remove spaces
return "class" + classLabel;
})
.style("fill", function(d) { return color(d.name); });
state.selectAll("rect")
.on("mouseover", function(d){
var delta = d.y1 - d.y0;
var xPos = parseFloat(d3.select(this).attr("x"));
var yPos = parseFloat(d3.select(this).attr("y"));
var height = parseFloat(d3.select(this).attr("height"))
d3.select(this).attr("stroke","blue").attr("stroke-width",0.8);
svg.append("text")
.attr("x",xPos)
.attr("y",yPos +height/2)
.attr("class","tooltip")
.text(d.name +": "+ delta);
})
.on("mouseout",function(){
svg.select(".tooltip").remove();
d3.select(this).attr("stroke","pink").attr("stroke-width",0.2);
})
var legend = svg.selectAll(".legend")
.data(color.domain().slice().reverse())
.enter().append("g")
//.attr("class", "legend")
.attr("class", function (d) {
legendClassArray.push(d.replace(/\s/g, '')); //remove spaces
return "legend";
})
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
//reverse order to match order in which bars are stacked
legendClassArray = legendClassArray.reverse();
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color)
.attr("id", function (d, i) {
return "id" + d.replace(/\s/g, '');
})
.on("mouseover",function(){
if (active_link === "0") d3.select(this).style("cursor", "pointer");
else {
if (active_link.split("class").pop() === this.id.split("id").pop()) {
d3.select(this).style("cursor", "pointer");
} else d3.select(this).style("cursor", "auto");
}
})
.on("click",function(d){
if (active_link === "0") { //nothing selected, turn on this selection
d3.select(this)
.style("stroke", "black")
.style("stroke-width", 2);
active_link = this.id.split("id").pop();
plotSingle(this);
//gray out the others
for (i = 0; i < legendClassArray.length; i++) {
if (legendClassArray[i] != active_link) {
d3.select("#id" + legendClassArray[i])
.style("opacity", 0.5);
}
}
} else { //deactivate
if (active_link === this.id.split("id").pop()) {//active square selected; turn it OFF
d3.select(this)
.style("stroke", "none");
active_link = "0"; //reset
//restore remaining boxes to normal opacity
for (i = 0; i < legendClassArray.length; i++) {
d3.select("#id" + legendClassArray[i])
.style("opacity", 1);
}
//restore plot to original
restorePlot(d);
}
} //end active_link check
});
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
function restorePlot(d) {
state.selectAll("rect").forEach(function (d, i) {
//restore shifted bars to original posn
d3.select(d[idx])
.transition()
.duration(1000)
.attr("y", y_orig[i]);
})
//restore opacity of erased bars
for (i = 0; i < legendClassArray.length; i++) {
if (legendClassArray[i] != class_keep) {
d3.selectAll(".class" + legendClassArray[i])
.transition()
.duration(1000)
.delay(750)
.style("opacity", 1);
}
}
}
function plotSingle(d) {
class_keep = d.id.split("id").pop();
idx = legendClassArray.indexOf(class_keep);
//erase all but selected bars by setting opacity to 0
for (i = 0; i < legendClassArray.length; i++) {
if (legendClassArray[i] != class_keep) {
d3.selectAll(".class" + legendClassArray[i])
.transition()
.duration(1000)
.style("opacity", 0);
}
}
//lower the bars to start on x-axis
y_orig = [];
state.selectAll("rect").forEach(function (d, i) {
//get height and y posn of base bar and selected bar
h_keep = d3.select(d[idx]).attr("height");
y_keep = d3.select(d[idx]).attr("y");
//store y_base in array to restore plot
y_orig.push(y_keep);
h_base = d3.select(d[0]).attr("height");
y_base = d3.select(d[0]).attr("y");
h_shift = h_keep - h_base;
y_new = y_base - h_shift;
//reposition selected bars
d3.select(d[idx])
.transition()
.ease("bounce")
.duration(1000)
.delay(750)
.attr("y", y_new);
})
}
});
</script>
JSON文件数据：
[{
"State": "VT",
"Under 5 Years": 32635,
"5 to 13 Years": 62538,
"14 to 17 Years": 33757,
"18 to 24 Years": 61679,
"25 to 44 Years": 155419,
"45 to 64 Years": 188593,
"65 Years and Over": 86649
}, {
"State": "VA",
"Under 5 Years": 522672,
"5 to 13 Years": 887525,
"14 to 17 Years": 413004,
"18 to 24 Years": 768475,
"25 to 44 Years": 2203286,
"45 to 64 Years": 2033550,
"65 Years and Over": 940577
}]
答案 0 :(得分：0)
只需将json数组分配给数据变量，例如
data = {your json data}
然后无需使用d3.csv（）