我需要使用 d3.js 设计一个流图，并开始试验托管在GitHub 上的代码。由于我的数据集预计在日期的最小值和最大值之间有不同的范围（可以是一个月或几年的时间），我决定对我的 x 轴上的刻度使用多尺度格式，而不是将格式和间隔固定为周、月、年等。例如，如果我将刻度格式保留为与 GitHub 上的示例代码中给出的相同方式
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(d3.time.weeks);
如果我的数据集中的日期范围跨越数年，x 轴的图例就会变得拥挤且难以阅读。
我尝试使用多尺度格式，但是无法绘制可视化，并且我的浏览器的开发工具返回以下错误：
d3.time.format.multi 不是函数
我真诚地希望有人可以建议我解决这个问题。
下面你可以看到我的完整代码：
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.chart {
background: #fff;
}
p {
font: 12px helvetica;
}
.axis path, .axis line {
fill: none;
stroke: #000;
stroke-width: 2px;
shape-rendering: crispEdges;
}
button {
position: absolute;
right: 50px;
top: 10px;
}
</style>
<body>
<script src="http://d3js.org/d3.v2.js"></script>
<div class="chart">
</div>
<script>
chart("tutorial.csv", "orange");
var datearray = [];
var colorrange = [];
function chart(csvpath, color) {
if (color == "blue") {
colorrange = ["#045A8D", "#2B8CBE", "#74A9CF", "#A6BDDB", "#D0D1E6", "#F1EEF6"];
}
else if (color == "pink") {
colorrange = ["#980043", "#DD1C77", "#DF65B0", "#C994C7", "#D4B9DA", "#F1EEF6"];
}
else if (color == "orange") {
colorrange = ["#B30000", "#E34A33", "#FC8D59", "#FDBB84", "#FDD49E", "#FEF0D9"];
}
strokecolor = colorrange[0];
var format = d3.time.format("%m/%d/%y");
var margin = {top: 20, right: 40, bottom: 30, left: 30};
var width = document.body.clientWidth - margin.left - margin.right;
var height = 400 - margin.top - margin.bottom;
var tooltip = d3.select("body")
.append("div")
.attr("class", "remove")
.style("position", "absolute")
.style("z-index", "20")
.style("visibility", "hidden")
.style("top", "30px")
.style("left", "55px");
var customTimeFormat = d3.time.format.multi([
[".%L", function(d) { return d.getMilliseconds(); }],
[":%S", function(d) { return d.getSeconds(); }],
["%I:%M", function(d) { return d.getMinutes(); }],
["%I %p", function(d) { return d.getHours(); }],
["%a %d", function(d) { return d.getDay() && d.getDate() != 1; }],
["%b %d", function(d) { return d.getDate() != 1; }],
["%B", function(d) { return d.getMonth(); }],
["%Y", function() { return true; }]
]);
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height-10, 0]);
var z = d3.scale.ordinal()
.range(colorrange);
var yAxis = d3.svg.axis()
.scale(y);
var yAxisr = d3.svg.axis()
.scale(y);
var stack = d3.layout.stack()
.offset("silhouette")
.values(function(d) { return d.values; })
.x(function(d) { return d.date; })
.y(function(d) { return d.value; });
var nest = d3.nest()
.key(function(d) { return d.key; });
var area = d3.svg.area()
.interpolate("cardinal")
.x(function(d) { return x(d.date); })
.y0(function(d) { return y(d.y0); })
.y1(function(d) { return y(d.y0 + d.y); });
var svg = d3.select(".chart").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 graph = d3.csv(csvpath, function(data) {
data.forEach(function(d) {
d.date = format.parse(d.date);
d.value = +d.value;
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.y0 + d.y; })]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickFormat(customTimeFormat);
var layers = stack(nest.entries(data));
svg.selectAll(".layer")
.data(layers)
.enter().append("path")
.attr("class", "layer")
.attr("d", function(d) { return area(d.values); })
.style("fill", function(d, i) { return z(i); });
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + width + ", 0)")
.call(yAxis.orient("right"));
svg.append("g")
.attr("class", "y axis")
.call(yAxis.orient("left"));
svg.selectAll(".layer")
.attr("opacity", 1)
.on("mouseover", function(d, i) {
svg.selectAll(".layer").transition()
.duration(250)
.attr("opacity", function(d, j) {
return j != i ? 0.6 : 1;
})})
.on("mousemove", function(d, i) {
mousex = d3.mouse(this);
mousex = mousex[0];
var invertedx = x.invert(mousex);
invertedx = invertedx.getMonth() + invertedx.getDate();
var selected = (d.values);
for (var k = 0; k < selected.length; k++) {
datearray[k] = selected[k].date
datearray[k] = datearray[k].getMonth() + datearray[k].getDate();
}
mousedate = datearray.indexOf(invertedx);
pro = d.values[mousedate].value;
d3.select(this)
.classed("hover", true)
.attr("stroke", strokecolor)
.attr("stroke-width", "0.5px"),
tooltip.html( "<p>" + d.key + "<br>" + pro + "</p>" ).style("visibility", "visible");
})
.on("mouseout", function(d, i) {
svg.selectAll(".layer")
.transition()
.duration(250)
.attr("opacity", "1");
d3.select(this)
.classed("hover", false)
.attr("stroke-width", "0px"), tooltip.html( "<p>" + d.key + "<br>" + pro + "</p>" ).style("visibility", "hidden");
})
var vertical = d3.select(".chart")
.append("div")
.attr("class", "remove")
.style("position", "absolute")
.style("z-index", "19")
.style("width", "1px")
.style("height", "380px")
.style("top", "10px")
.style("bottom", "30px")
.style("left", "0px")
.style("background", "#fff");
d3.select(".chart")
.on("mousemove", function(){
mousex = d3.mouse(this);
mousex = mousex[0] + 5;
vertical.style("left", mousex + "px" )})
.on("mouseover", function(){
mousex = d3.mouse(this);
mousex = mousex[0] + 5;
vertical.style("left", mousex + "px")});
});
}
</script>
首先，我使用来自 GitHub 示例的数据集：
key,value,date
AR,0.1,01/08/13
AR,0.15,01/09/13
AR,0.35,01/10/13
AR,0.38,01/11/13
AR,0.22,01/12/13
AR,0.16,01/13/13
AR,0.07,01/14/13
AR,0.02,01/15/13
AR,0.17,01/16/13
AR,0.33,01/17/13
AR,0.4,01/18/13
AR,0.32,01/19/13
AR,0.26,01/20/13
AR,0.35,01/21/13
AR,0.4,01/22/13
AR,0.32,01/23/13
AR,0.26,01/24/13
AR,0.22,01/25/13
AR,0.16,01/26/13
AR,0.22,01/27/13
AR,0.1,01/28/13
DJ,0.35,01/08/13
DJ,0.36,01/09/13
DJ,0.37,01/10/13
DJ,0.22,01/11/13
DJ,0.24,01/12/13
DJ,0.26,01/13/13
DJ,0.34,01/14/13
DJ,0.21,01/15/13
DJ,0.18,01/16/13
DJ,0.45,01/17/13
DJ,0.32,01/18/13
DJ,0.35,01/19/13
DJ,0.3,01/20/13
DJ,0.28,01/21/13
DJ,0.27,01/22/13
DJ,0.26,01/23/13
DJ,0.15,01/24/13
DJ,0.3,01/25/13
DJ,0.35,01/26/13
DJ,0.42,01/27/13
DJ,0.42,01/28/13
MS,0.21,01/08/13
MS,0.25,01/09/13
MS,0.27,01/10/13
MS,0.23,01/11/13
MS,0.24,01/12/13
MS,0.21,01/13/13
MS,0.35,01/14/13
MS,0.39,01/15/13
MS,0.4,01/16/13
MS,0.36,01/17/13
MS,0.33,01/18/13
MS,0.43,01/19/13
MS,0.4,01/20/13
MS,0.34,01/21/13
MS,0.28,01/22/13
MS,0.26,01/23/13
MS,0.37,01/24/13
MS,0.41,01/25/13
MS,0.46,01/26/13
MS,0.47,01/27/13
MS,0.41,01/28/13
RC,0.1,01/08/13
RC,0.15,01/09/13
RC,0.35,01/10/13
RC,0.38,01/11/13
RC,0.22,01/12/13
RC,0.16,01/13/13
RC,0.07,01/14/13
RC,0.02,01/15/13
RC,0.17,01/16/13
RC,0.33,01/17/13
RC,0.4,01/18/13
RC,0.32,01/19/13
RC,0.26,01/20/13
RC,0.35,01/21/13
RC,0.4,01/22/13
RC,0.32,01/23/13
RC,0.26,01/24/13
RC,0.22,01/25/13
RC,0.16,01/26/13
RC,0.22,01/27/13
RC,0.1,01/28/13
CG,0.1,01/08/13
CG,0.15,01/09/13
CG,0.35,01/10/13
CG,0.38,01/11/13
CG,0.22,01/12/13
CG,0.16,01/13/13
CG,0.07,01/14/13
CG,0.02,01/15/13
CG,0.17,01/16/13
CG,0.33,01/17/13
CG,0.4,01/18/13
CG,0.32,01/19/13
CG,0.26,01/20/13
CG,0.35,01/21/13
CG,0.4,01/22/13
CG,0.32,01/23/13
CG,0.26,01/24/13
CG,0.22,01/25/13
CG,0.16,01/26/13
CG,0.22,01/27/13
CG,0.1,01/28/13
RI,0.1,01/08/13
RI,0.15,01/09/13
RI,0.35,01/10/13
RI,0.38,01/11/13
RI,0.22,01/12/13
RI,0.16,01/13/13
RI,0.07,01/14/13
RI,0.02,01/15/13
RI,0.17,01/16/13
RI,0.33,01/17/13
RI,0.4,01/18/13
RI,0.32,01/19/13
RI,0.26,01/20/13
RI,0.35,01/21/13
RI,0.4,01/22/13
RI,0.32,01/23/13
RI,0.26,01/24/13
RI,0.22,01/25/13
RI,0.16,01/26/13
RI,0.22,01/27/13
RI,0.1,01/28/13