我正在D3.js可视化文件上构建滑块。
我希望用户在滑块上选择年份,并希望滑块从文件中检索数据,名称中应具有在滑块中选择的年份。
为此,我在app.js文件中添加了:
function update(year){
slider.property("value", year);
d3.select(".year").text(year);
// us_data.style("fill", function(d) {
// return color(d.properties.years[year][0].rate)
// });
}
var slider = d3.select(".slider")
.append("input")
.attr("type", "range")
.attr("min", 2009)
.attr("max", 2013)
.attr("step", 1)
.on("input", function() {
var year = this.value;
update(year);
});
update(2013);
由于我打算读取在滑块中选择的所选年份,以便从带有年份名称的文件中提取数据,因此我在id
上添加了h2
滑块在index.html上移动:
<h2 id="vardatayear" class="year"></h2>
<div class="slider"></div>
考虑到“ vardatayear”将影响我要导入的文件,我创建了一个变量来检索该值,并且/或者如果它为空,则检索2013(默认情况下):
var honeyyear = document.getElementById("vardatayear").value || 2013;
作为我的导入对象,如下所示:
d3.json( `data/HoneyProduction-${honeyyear}.json`, function( honey_data ){...
我在this slider中启发了我的代码,但是当我更改年份时,地图保持不变,因为滑块中的更改不会影响导入中的文件路径。 在过程中的任何指导表示赞赏。
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>VI - Gonçalo Peres</title>
<link rel="stylesheet" type="text/css" href="css/style.css">
<link rel="stylesheet" type="text/css"
href="https://stackpath.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css">
</head>
<body>
<nav class="navbar navbar-default">
<div class="container">
<a class="navbar-brand" href="#"><img id="logo" src="img/logo.png"></a>
<br>
<div id="mySidenav" class="sidenav">
<a href="javascript:void(0)" class="closebtn" onclick="closeNav()">×</a>
<a href="#">Contexto</a>
<a href="#">1.ª Codificação Visual</a>
<a href="#">2.ª Codificação Visual</a>
<a href="#">3.ª Codificação Visual</a>
</div>
</div>
<span style="font-size:30px;cursor:pointer" onclick="openNav()">☰</span>
<br>
<br>
</nav>
<div id="intro">
<h2>1.ª Codificação Visual</h2>
<span>Lorem ipsum.</span><br>
<span>Lorem Ipsum.</span><br>
</div>
<div id="legenda">
<h4>Legenda</h4>
<span>Lorem ipsum.</span><br>
<span>Lorem ipsum.</span><br>
</div>
<br>
<div id="content">
<h1>U.S. Department of Agriculture - Honey Production, 2009-2013</h1>
<h2 id="vardatayear" class="year"></h2>
<div class="slider"></div>
<div id="map"></div>
</div>
<div id="chart"></div>
<div id="buttons">
<button type="button" class="panning up"><i class="fa fa-arrow-up"></i></button>
<button type="button" class="panning down"><i class="fa fa-arrow-down"></i></button>
<button type="button" class="panning left"><i class="fa fa-arrow-left"></i></button>
<button type="button" class="panning right"><i class="fa fa-arrow-right"></i></button>
<button type="button" class="zooming in"><i class="fa fa-plus"></i></button>
<button type="button" class="zooming out"><i class="fa fa-minus"></i></button>
</div>
<div id="note">
<span>Gonçalo Peres | <b><a class="website" href="http://goncaloperes.com/" target="_blank">GoncaloPeres.com</a></b></span><br>
<span>Data from: <a class="website" href="https://public.enigma.com/datasets/u-s-department-of-agriculture-honey-production-2013/41cf2441-e96f-4113-a02f-402d167a9cd8" target="_blank">Enigma Public</a></span>
</div>
<script src="https://d3js.org/d3.v4.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
<script src="js/app.js"></script>
</body>
// Define width and height
var chart_width = 800;
var chart_height = 600;
// Define the color scale
var color = d3.scaleQuantize().range([
"#f7fbff",
"#deebf7",
"#c6dbef",
"#9ecae1",
"#6baed6",
"#4292c6",
"#2171b5",
"#08519c",
"#08306b"
]);
// Navbar
function openNav() {
document.getElementById("mySidenav").style.width = "100%";
}
function closeNav() {
document.getElementById("mySidenav").style.width = "0";
}
// Define the Tooltip
var tooltip = d3.select("body").append("div")
.attr("class", "tooltip");
// Define the Map Projection
var projection = d3.geoAlbersUsa()
.translate([ 0,0 ]);
var path = d3.geoPath( projection );
// Create SVG
var svg = d3.select("#chart")
.append("svg")
.attr("width", chart_width)
.attr("height", chart_height);
// Zoom
var zoom_map = d3.zoom()
.scaleExtent([ 0.5, 3.0 ])
.translateExtent([
[ -1000, -500 ],
[ 1000, 500 ]
])
.on( 'zoom', function(){
// console.log( d3.event );
var offset = [
d3.event.transform.x,
d3.event.transform.y
];
var scale = d3.event.transform.k * 1100;
projection.translate( offset )
.scale( scale );
svg.selectAll( 'path' )
.transition()
.attr( 'd', path );
svg.selectAll( 'circle' )
.transition()
.attr( "cx", function(d) {
return projection([d.longitude, d.latitude])[0];
})
.attr( "cy", function(d) {
return projection([d.longitude, d.latitude])[1];
});
});
var map = svg.append( 'g' )
.attr( 'id', 'map' )
.call( zoom_map )
.call(
zoom_map.transform,
d3.zoomIdentity
.translate( chart_width / 2, chart_height / 2 )
.scale( 1 )
);
map.append( 'rect' )
.attr( 'x', 0 )
.attr( 'y', 0 )
.attr( 'class', "mapsvg")
.attr( 'width', chart_width )
.attr( 'height', chart_height )
.attr( 'opacity', 0 );
// Load Data
var honeyyear = document.getElementById("vardatayear").value || 2013;
// if(!honeyyear){
// honeyyear = 2013
// }
// Select what are we analyzing
// var honeyattribute = document.getElementById('some_input_id').value;
d3.json( `data/HoneyProduction-${honeyyear}.json`, function( honey_data ){
color.domain([
d3.min( honey_data, function(d){
return d.average_price_per_pound;
}),
d3.max( honey_data, function(d){
return d.average_price_per_pound;
})
]);
// Load GeoJson Data
d3.json( 'data/us.json', function( us_data ){
us_data.features.forEach(function(us_e, us_i){
honey_data.forEach(function(h_e,h_i){
if( us_e.properties.name !== h_e.state ){
return null;
}
us_data.features[us_i].properties.average_price_per_pound = parseFloat(h_e.average_price_per_pound);
});
});
// Bind Data
map.selectAll( 'path' )
.data( us_data.features )
.enter()
.append( 'path' )
.attr( 'd', path )
.attr( 'fill', function( d ){
var average_price_per_pound = d.properties.average_price_per_pound;
return average_price_per_pound ? color( average_price_per_pound ) : '#525252';
})
.attr( 'stroke', '#fff' )
.attr( 'stroke-width', 1 )
.on("mouseover", function(d) {
tooltip.transition()
.duration(250)
.style("opacity", 1);
tooltip.html("<strong>" + d.properties.name + "</strong>" + "<br/>" + "Average price per pound (cents): " +
(d.properties.average_price_per_pound))
.style("left", (d3.event.pageX + 15) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
tooltip.transition()
.duration(250)
.style("opacity", 0);
})
.append('title')
// // For the simple tooltip
// .text(d => d.properties.average_price_per_pound);
// draw_cities();
});
// Legend
const x = d3.scaleLinear()
.domain(d3.extent(color.domain()))
.rangeRound([500, 750]);
const g = svg.append("g")
.attr( "class", "legend" )
.attr("transform", "translate(0,40)");
g.selectAll("rect")
.data(color.range().map(d => color.invertExtent(d)))
.enter().append("rect")
.attr("height", 8)
.attr("x", d => x(d[0]))
.attr("width", d => x(d[1]) - x(d[0]))
.attr("fill", d => color(d[0]));
g.append("text")
.attr("class", "caption")
.attr("x", x.range()[0])
.attr("y", -6)
.attr("fill", "#fff")
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text('Average Price per Pound (cents)');
g.call(d3.axisBottom(x)
.tickSize(13)
.tickFormat(( honey_data, function(d){
return d.average_price_per_pound;
}),)
.tickValues(color.range().slice(1).map(d => color.invertExtent(d)[0])))
.select(".domain")
.remove();
// svg.append("g")
// .selectAll("path")
// .data(honey_data, function(d){
// return d.average_price_per_pound;
// })
// .enter().append("path")
// .attr("fill", d => color(d.average_price_per_pound))
// .attr("d", path)
// .append("title")
// .text(d => (d.average_price_per_pound));
//
// svg.append("path")
// .datum(honey_data, function(d){
// return d.average_price_per_pound;
// })
// .attr("fill", "none")
// .attr("stroke", "white")
// .attr("stroke-linejoin", "round")
// .attr("d", path);
});
// Add most popular cities across the US with a circle changing accordingly to the size of the population
function draw_cities(){
d3.json( 'data/us-city.json', function( city_data ){
map.selectAll("circle")
.data(city_data)
.enter()
.append( "circle" )
.style( "fill", "#9D497A" )
.style( "opacity", 0.8 )
.attr( 'cx', function( d ){
return projection([ d.longitude, d.latitude ])[0];
})
.attr( 'cy', function( d ){
return projection([ d.longitude, d.latitude ])[1];
})
.attr( 'r', function(d){
return Math.sqrt( parseInt(d.population) * 0.00005 );
})
.append( 'title' )
.text(function(d){
return d.city;
});
});
}
// Panning
d3.selectAll( '#buttons button.panning' ).on( 'click', function(){
var x = 0;
var y = 0;
var distance = 100;
var direction = d3.select( this ).attr( 'class' ).replace( 'panning ', '' );
if( direction === "up" ){
y += distance; // Increase y offset
}else if( direction === "down" ){
y -= distance; // Decrease y offset
}else if( direction === "left" ){
x += distance; // Increase x offset
}else if( direction === "right" ){
x -= distance; // Decrease x offset
}
map.transition()
.call( zoom_map.translateBy, x, y );
});
// Zooming
d3.selectAll( '#buttons button.zooming' ).on( 'click', function(){
var scale = 1;
var direction = d3.select(this).attr("class").replace( 'zooming ', '' );
if( direction === "in" ){
scale = 1.25;
}else if(direction === "out"){
scale = 0.75;
}
map.transition()
.call(zoom_map.scaleBy, scale);
});
// Slider
function update(year){
slider.property("value", year);
d3.select(".year").text(year);
// honeyyear.style("fill", function(d) {
// return color(d.properties.years[year][0].rate)
};
var slider = d3.select(".slider")
.append("input")
.attr("type", "range")
.attr("min", 2009)
.attr("max", 2013)
.attr("step", 1)
.on("input", function() {
var year = this.value;
update(year);
});
update(2013);
答案 0 :(得分:2)
d3.json和其他提取工具进行提取,并返回一个保证,可用于基于滑块输入事件来更新数据。检查此小提琴以查看其工作原理。
const getData = value => d3.json(`https://jsonplaceholder.typicode.com/todos/${value}`)
const slider = document.getElementById('start')
slider.addEventListener('input', event => getData(event.target.value).then(
data => {
const display = document.getElementById('display')
display.innerText = data.title
}
))
如果您正在寻找解决问题的具体方法,那么这段代码应该可以解决该问题:
let updateYear = year => {
slider.attr("value", year);
d3.select(".year").text(year);
}
var slider = d3.select(".slider")
.append("input")
.attr("type", "range")
.attr("min", 2009)
.attr("max", 2013)
.attr("step", 1)
.on("input", function() {
const value = this.value
updateYear(this.value)
d3.json(`data/HoneyProduction-${value}.json`)
.then(data => {
// Do whatever you need with your data
})
});
updateYear(2013)