There is a great example of a multi-series line chart here http://bl.ocks.org/mbostock/3884955 and if the tsv data were laid out I\'m sure it would look something like this:
The date in the example, is actually transformed somewhat to look like the data you have:
var cities = color.domain().map(function(name) {
return {
name: name,
values: data.map(function(d) {
return {date: d.date, temperature: +d[name]};
})
};
});
The difference is that this data contains only arrays of arrays while your format contains array of objects, where each object contains the array inside the object as obj.Data
.
It is easy to make the changes to make the demo run Demo.
The primary problem was how to calculate the min/max of the Date
and Value
for the scales:
In the original example:
x.domain(d3.extent(data, function (d) {
return d.date;
}));
y.domain([
d3.min(cities, function (c) {
return d3.min(c.values, function (v) {
return v.temperature;
});
}),
d3.max(cities, function (c) {
return d3.max(c.values, function (v) {
return v.temperature;
});
})]);
For the changed format:
var minX = d3.min(data, function (kv) { return d3.min(kv.Data, function (d) { return d.Date; }) });
var maxX = d3.max(data, function (kv) { return d3.max(kv.Data, function (d) { return d.Date; }) });
var minY = d3.min(data, function (kv) { return d3.min(kv.Data, function (d) { return d.Value; }) });
var maxY = d3.max(data, function (kv) { return d3.max(kv.Data, function (d) { return d.Value; }) });
x.domain([minX, maxX]);
y.domain([minY, maxY]);
One answer, if i want read this date of file/url with json equals, how i read this??
Solution:
d3.json("data.json", function(error, data) {
color.domain(data.map(function(key) {
return key.data;
}));