我正在尝试按照此示例here获取D3堆叠图表。我在本地进行了测试,效果很好。 我已经调整了代码以匹配我的csv数据集,但不幸的是我遇到了y和height属性计算的问题:
这是我改编的源代码:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<title>Enterprise Elements Analysis - In/Out of Scope</title>
<script src="http://d3js.org/d3.v4.min.js" charset="utf-8"></script>
<style type="text/css">
svg {
font: 10px sans-serif;
shape-rendering: crispEdges;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
}
path.domain {
stroke: none;
}
.y .tick line {
stroke: #ddd;
}
</style>
</head>
<body>
<script type="text/javascript">
// Our D3 code will go here
var ratData = [];
d3.csv("./etcounts.csv", function(d) {
return {
type: d.type,
in_scope: +d.in_scope,
out_scope: +d.out_scope
};
}, function(error, rows) {
data = rows;
console.log(data);
createVisualization();
});
function createVisualization() {
// Setup svg using with margins
var margin = {bottom: 75, left: 15, right: 85};
var w = 200 - margin.left - margin.right;
var h = 175 - margin.bottom;
// get length of Array
var arrayLength = data.length; // length of dataset
var x_axisLength = 100; // length of x-axis in our layout
var y_axisLength = 100; // length of y-axis in our layout
var svg = d3.select("body")
.append("svg")
.attr("width", w + margin.left + margin.right)
.attr("height", h + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + ",10)");
// set up the properties for stack
var stack = d3.stack()
.keys(["In Scope", "Out Scope"])
.order(d3.stackOrderDescending)
.offset(d3.stackOffsetNone);
// transpose your data using stack
var series = stack(data);
// view the stack
console.log(series);
// setup the Y scale
var yScale = d3.scaleLinear()
.domain([0, d3.max(series, function(d) {
return d3.max(d, function(d) {
return d[1];
});
})])
.range([h, 0]);
// Set some colors into an array
var colors = ["#dfd6d6", "#d85f41"]; // choose colors
// Create groups for each series, rect elements for each segment
var groups = svg.selectAll("g.type")
.data(series)
.enter().append("g")
.attr("class", "type")
.style("fill", function(d, i) {
return colors[i]; // color the rectangles
});
// Create the rectangles
var rect = groups.selectAll("rect")
.data(function(d) {
return d;
})
.enter()
.append("rect")
.attr("x", function(d,i) {
return i * (x_axisLength/arrayLength) + 30; // Set x coordinate of rectangle to index of data value (i) *25
})
.attr("y", function(d) {
return yScale(d[1]); // set base of rectangle
})
.attr("height", function(d) {
return yScale(d[0]) - yScale(d[1]); // set height of rectangle
})
.attr("width", (x_axisLength/arrayLength) - 1) // set width of rectangle
.on("mouseover", function() {
tooltip.style("display", null); // hide tooltip
})
.on("mousemove", function(d) {
var xPosition = d3.mouse(this)[0] - 15;
var yPosition = d3.mouse(this)[1] - 25;
tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
tooltip.select("text").text(d.data.city + ": " + (d[1] - d[0])); // populate tooltip
})
.on("mouseout", function() {
tooltip.style("display", "none");
});
// Draw legend
var legend = svg.selectAll(".legend")
.data(colors)
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(" + i * 50 + ", 110)"; });
legend.append("rect")
.attr("x", w - 70)
.attr("width", 18)
.attr("height", 18)
.style("fill", function(d, i) {return colors.slice().reverse()[i];});
legend.append("text")
.attr("x", w - 49)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "start")
.text(function(d, i) {
switch (i) {
case 0: return "In";
case 1: return "Out";
}
});
// Prep the tooltip bits, initial display is hidden
var tooltip = svg.append("g")
.attr("class", "tooltip")
.style("display", "none");
tooltip.append("text")
.attr("x", 15)
.attr("dy", "1.2em")
.style("text-anchor", "middle")
.attr("font-size", "12px");
// Create y-axis
svg.append("line")
.attr("x1", 30)
.attr("y1", 0)
.attr("x2", 30)
.attr("y2", 100)
.attr("stroke-width", 2)
.attr("stroke", "black");
// y-axis label
svg.append("text")
.attr("class", "y label")
.attr("text-anchor", "middle")
.text("Elements")
.attr("transform", "translate(20, 50) rotate(-90)")
.attr("font-size", "14px")
.attr("font-family", "'Open Sans', sans-serif");
// Create x-axis
svg.append("line")
.attr("x1", 30)
.attr("y1", 100)
.attr("x2", 130)
.attr("y2", 100)
.attr("stroke-width", 2)
.attr("stroke", "black");
}
</script>
</body>
</html>
我的数据集(etcounts.csv)在这里:
type,in_scope,out_scope
ERKRS,1,1
KKBER,6,5
KOKRS,1,31
BUKRS,78,143
VKORG,23,13
BWKEY,51,6
EKORG,5,6
WERKS,51,65
LGORT,9,180
SPART,9,3
VTWEG,2,0
PERSA,47,73
不幸的是我的D3 / JS技能还不尽如人意,但我很感激任何帮助。谢谢 - 约翰
答案 0 :(得分:1)
而不是
var stack = d3.stack()
.keys(["In Scope", "Out Scope"]) <-- there is no key as such
.order(d3.stackOrderDescending)
.offset(d3.stackOffsetNone);
应该是:
var stack = d3.stack()
.keys(["in_scope", "out_scope"])
.order(d3.stackOrderDescending)
.offset(d3.stackOffsetNone);
原因:您的CSV "In Scope", "Out Scope"
中没有密钥
应该是"in_scope", "out_scope"
修改强>
对于工具提示:
tooltip.select("text").text(d.data.city + ": " + (d[1] - d[0]));
应该是
tooltip.select("text").text(d.data.type + ": " + (d[1] - d[0]));
原因:您的CSV中没有data.city
。
工作代码here