我使用D3.js制作了一个简单的条形图。图表的数据来自csv文件。我希望图表每2.5秒更新一次,显示新数据。现在,在更新csv文件后,X轴和Y轴将更新,但条形图和鼠标悬停工具提示会显示旧值。我看了很多不同的例子。以下是我引用的一些内容。有谁知道发生了什么? http://mbostock.github.io/d3/tutorial/bar-2.html
http://www.d3noob.org/search?q=update
d3 update data and update graph
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<title>Bar Chart</title>
<style type="text/css">
.bar {
fill: steelblue;
}
.bar:hover {
fill: brown;
}
div.tooltip {
position: absolute;
text-align: left;
width: auto;
height: auto;
padding: 2px;
font-family: sans-serif;
font-size: 14px;
background: white;
border: 2;
border-radius: 5px;
pointer-events: none;
}
.axis {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 20, bottom: 30, left: 45},
width = 1000 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickPadding(5);
//var data = [{"label":"Boone","values":0.8},{"label":"Story","values":0.2},{"label":"Polk","values":0.4}]
var div = d3.select("body").append("div")
.attr("class", "tooltip")
.style("position", "absolute")
.style("opacity", 0);
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("data.csv", function(error, data) {
data.forEach(function(d) {
d.label = d.label;
d.values = +d.values;
});
x.domain(data.map(function(d) { return d.label; }));
y.domain([0, d3.max(data, function(d) { return d.values; })]);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-0)")
.attr("x", -10)
.attr("y", -16)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Values");
svg.selectAll(".bar")
.data(data)
.enter().append("rect")
.on("mouseover", function(d) {
div.transition()
.duration(100)
.style("opacity", 1)
.style("left", (d3.event.pageX)+ "px")
.style("top", (d3.event.pageY) + "px");
div.html("<p>Label: " + d.label+ "<br>Value: " + d.values);
d3.select("#tooltip").classed("hidden", false);
})
.attr("class", "bar")
.attr("x", function(d) { return x(d.label); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.values); })
.attr("height", function(d) { return height - y(d.values); });
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", 30)
.style("text-anchor", "end")
.text("Label");
});
var inter = setInterval(function() {
updateData();
},2500);
function updateData() {
d3.csv("data.csv", function(error, data) {
data.forEach(function(d) {
d.label = d.label;
d.values = +d.values;
});
x.domain(data.map(function(d) { return d.label; }));
y.domain([0, d3.max(data, function(d) { return d.values; })]);
var svg = d3.select("body")
var vis = svg.transition();
vis.select(".x.axis")
.duration(750)
.call(xAxis)
vis.select(".y.axis")
.duration(750)
.call(yAxis)
vis.select(".rect")
.duration(750)
.attr(".x", function(d) { return x(d.label); })
.attr(".y", function(d) { return y(d.values); })
});
}
</script>
</body>
</html>