这是类似d3.js - group 2 data values in a stacked bar chart的查询。
我正在努力研究原型。
我有以下csv
date,pass,fail,compid
01/2014,1,2,001
01/2014,11,5,002
02/2014,7,3,001
02/2014,8,1,002
03/2014,2,3,001
03/2014,6,1,002
我想显示日期的总通过和失败（包括两个comp id）。因此对于01/2014，总传递为12，失败为7.因此，对于jan-2014的x轴，我需要一个堆叠条，显示传递为12并且失败为7。
我的工作代码如下：
<!DOCTYPE html>
<html>
<head>
<title>Pass vs Fail</title>
<script src="http://d3js.org/d3.v3.min.js"></script>
<style type="text/css">
svg {
width: 980px;
height: 500px;
border: solid 1px #ccc;
font: 10px sans-serif;
shape-rendering: crispEdges;
}
label {
display: inline-block;
cursor: pointer;
position: relative;
padding-left:1px;
margin-right: 5px;
font-size: 13px;
}
g.axis path, g.axis line {fill:none; stroke:black; shape-rendering:crispEdges;}
</style>
</head>
<body>
<div id="container">
<br>
</div>
<script type="text/javascript">
var w = 960,
h = 500,
p = [20, 50, 30, 20],
x = d3.time.scale().range([1, 80]);
y = d3.scale.linear().range([0, h - p[0] - p[2]]),
z = d3.scale.ordinal().range(["#819FF7", "#CB491A"]),
parse = d3.time.format("%m/%Y").parse,
format = d3.time.format("%b-%y");
var tempdata;
var xAxis=d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(d3.time.month, 1)
//.ticks(12)
xAxis.tickFormat(d3.time.format("%b-%y"));
/*var yAxis = d3.svg.axis()
.scale(y)
.ticks(12)
.orient("left");*/
var svg = d3.select("#container").append("svg:svg")
.attr("width", w)
.attr("height", h)
.append("svg:g")
.attr("transform", "translate(" + p[3] + "," + (h - p[2]) + ")");
d3.csv("scanpassfail.csv", function(scan) {
// Transpose the data into layers by cause.
var scantypes = d3.layout.stack()(["pass", "fail"].map(function(scans) {
return scan.map(function(d) {
return {x: parse(d.date), y: +d[scans],z:d.compid,typescan:scans};
});
}));
scan.forEach(function(d,i) {
var y0 = 0;
tempdata=d;
d.date = d.date;
d.pass = +d.pass;
d.fail =+d.fail;
});
// Compute the x-domain (by date) and y-domain (by top).
x.domain(scantypes [0].map(function(d) { return d.x; }));
y.domain([0, d3.max(scantypes[scantypes .length - 1], function(d) { return d.y0 + d.y; })]);
// Add a group for each scan.
var cause = svg.selectAll("g.scan")
.data(scantypes)
.enter().append("svg:g")
.attr("class", "scan")
.style("fill", function(d, i) { return z(i); })
.style("stroke", function(d, i) { return d3.rgb(z(i)).darker(); });
// Add a rect for each date.
var rect = cause.selectAll("rect")
.data(Object)
.enter().append("svg:rect")
.attr("id", function(d,i) { return i + " comp " + d.z; })
.attr("x", function(d,i) {
if (i ==0)
{
return x(d.x) ;
}
else
{
return x(d.x);
}} )
.attr("y", function(d) { return -y(d.y0) - y(d.y); })
.attr("height", function(d) { return y(d.y); })
.attr("width", 30)
.on("mouseover", function(d){
return tooltip.style("visibility", "visible")
.text((d.y))//d.typescan + " - " +
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 20) + "px"); ;})
.on("mousemove", function(d){
return tooltip.style("visibility", "visible")
.text((d.y)) //d.typescan + " - " +
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 20) + "px"); ;})
.on("mouseout", function(d){return tooltip.style("visibility", "hidden");})
.on("click", function(d){});
var tooltip = d3.select("#container")
.append("div")
.style("position", "absolute")
.style("z-index", "10")
.style("visibility", "visible")
.text("Scanned vs UnScanned")
.style("font", "Arial")
.style("color", "white")
.style("font-size", "14px");
//Add x-Axis
svg.append("g")
.attr("class", "x axis")
//.attr("transform", function(d) { return "translate(0,80)"; })
.call(xAxis)
// Add a label per date.
var label = svg.selectAll("text")
.data(x.domain())
.enter().append("svg:text")
.attr("x", function(d) { return x(d.x); })//x.rangeBand() / 4
.attr("y", 6)
.attr("text-anchor", "middle")
.attr("dy", ".71em")
.text(format);
// Add y-axis rules.
var rule = svg.selectAll("g.rule")
.data(y.ticks(5))
.enter().append("svg:g")
.attr("class", "rule")
.attr("transform", function(d) { return "translate(0," + -y(d) + ")"; });
rule.append("svg:line")
.attr("x2", w - p[1] - p[3])
.style("stroke", function(d) { return d ? "#fff" : "#000"; })
.style("stroke-opacity", function(d) { return d ? .7 : null; });
rule.append("svg:text")
.attr("x", -15)
.style("font-family","Arial 12px")
.attr("dy", ".25em")
.text(d3.format(",d"));
var Rectangles = [
{ "x_axis": 870, "y_axis": -400,"color" : "#819FF7"},
{ "x_axis": 870, "y_axis": -440,"color" : "#CB491A"}];
var rectangle= svg.selectAll("#container").data(Rectangles).enter().append("rect");
var RectangleAttrb = rectangle.attr("x", function (d) { return d.x_axis; })
.attr("y", function (d) { return d.y_axis; })
.attr("width",30 )
.attr("height",20)
.style("fill", function(d) { return d.color; });
var text = svg.append('text').text('Pass')
.attr('x', 904)
.attr('y', -390)
.attr("style", "font-size: 18; font-family: Helvetica,sans-serif")
.attr('fill', 'black')
var text = svg.append('text').text('Fail')
.attr('x',904)
.attr('y', -430)
.attr("style", "font-size: 18; font-family: Helvetica,sans-serif")
.attr('fill', 'black')
});
</script>
</body>
</html> </script>
</body>
</html>
虽然我试图根据日期对值进行分组，但它没有成功。
scan.forEach(function(d,i) {
var y0 = 0;
tempdata=d;
d.date = d.date;
d.pass = +d.pass;
d.fail =+d.fail;
});
我被困在可以根据列值的相似性添加列值的地方。