I'm trying to re-create the interactive streamgraph presented on GitHub, with data that I'm obtaining from a Web Service. I'm using the same code from the sample on GitHub to generate the graph, however I'm getting MNaN and NaN coordinates for the path elements (precisely, their d attribute). The results is an empty graph where only the x and y axes are drawn but nothing more.
<!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.v3.min.js" charset="utf-8"></script>
<script src="//code.jquery.com/jquery-1.11.0.min.js"></script>
<div class="chart"></div>
</body>
<script>
var dataset;
function getData() {
$.ajax({
type: "POST",
contentType: "application/json; charset=utf-8",
url: "VoxPoliticoService.asmx/ComparePoliticians",
data: {},
dataType: "json",
success: function (res) {
dataset = res.d;
renderChart();
}
});
}
jQuery(document).ready(function ($) {
getData();
});
function renderChart()
{
color = "blue";
var datearray = [];
var colorrange = [];
var data = dataset;
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 x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height-10, 0]);
var z = d3.scale.ordinal()
.range(colorrange);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(d3.time.weeks);
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 + ")");
data.forEach(function(d) {
d.date = format.parse(d.date);
d.value = +d.value;
});
var layers = stack(nest.entries(data));
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.y0 + d.y; })]);
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>
For convenience, here is the code of the web service (in C#) that generates the dataset:
[WebMethod]
[ScriptMethod(ResponseFormat = ResponseFormat.Json)]
public PoliticianWords[] ComparePoliticians()
{
List<PoliticianWords> ret = new List<PoliticianWords>();
Random r = new Random();
string[] politicians = { "A B", "C D", "E F", "G H" };
Random gen = new Random();
List<DateTime> dates = new List<DateTime>();
for (int i = 0; i < 20; i++)
{
DateTime start = new DateTime(1991, 9, 11);
int range = (DateTime.Today - start).Days;
dates.Add(start.AddDays(gen.Next(range)));
}
dates.Sort();
foreach (string politician in politicians)
{
foreach(DateTime d in dates)
{
PoliticianWords pw = new PoliticianWords();
pw.key = politician;
pw.value = gen.Next(0, 100);
pw.date = d.Day.ToString() + "/" + d.Month.ToString() + "/" + d.Year.ToString();
ret.Add(pw);
}
}
return ret.ToArray();
}
EDIT 1: I forgot to add the definition of the members of the dataset as a C# class. I know this question might have been already lost in the pile of other question, but any help would be still much appreciated:
public class PoliticianWords
{
public string key { get; set; }
public int value { get; set; }
public string date { get; set; }
}
EDIT 2: I came up with an example dataset which turned out to be working. Instead of generating it randomly from a webservice, I'm storing it in a .csv file and obtaining it similarly to the code given in GitHub.
key,value,date A B,100,01/08/13 A B,15,01/09/13 A B,35,01/10/13 A B,38,01/11/13 A B,22,01/12/13 A B,16,01/13/13 C D,35,01/08/13 C D,36,01/09/13 C D,37,01/10/13 C D,22,01/11/13 C D,24,01/12/13 C D,26,01/13/13 E F,21,01/08/13 E F,25,01/09/13 E F,27,01/10/13 E F,23,01/11/13 E F,24,01/12/13 E F,21,01/13/13 G H,10,01/08/13 G H,15,01/09/13 G H,35,01/10/13 G H,38,01/11/13 G H,22,01/12/13 G H,16,01/13/13
And here is also a non-working example, a randomly generated dataset obtained from the webservice:
key,value,date A B,1,6/5/1992 A B,4,11/29/1992 A B,2,11/3/1993 A B,7,8/1/1995 A B,9,8/1/1996 A B,15,8/1/1997 C D,1,6/5/1992 C D,2,11/29/1992 C D,5,11/3/1993 C D,10,8/1/1995 C D,12,8/1/1996 C D,19,8/1/1997 E F,1,6/5/1992 E F,20,11/29/1992 E F,16,11/3/1993 E F,6,8/1/1995 E F,10,8/1/1996 E F,5,8/1/1997 G H,1,6/5/1992 G H,17,11/29/1992 G H,16,11/3/1993 G H,6,8/1/1995 G H,10,8/1/1996 G H,20,8/1/1997
