<style> /* set the CSS */
.chart2 {
font: 12px Arial;
}
path {
stroke: steelblue;
stroke-width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: #808080;
stroke-width: 1;
shape-rendering: crispEdges;
}
circle{
fill: blue;
}
.tick line{
opacity: 0.2;
}
.domain{
display:none;
}
</style>
<script src="d3.min.js"></script>
<script>
// Set the dimensions of the canvas / graph
var margin = {
top: 30,
right: 120,
bottom: 30,
left: 50
},
width = 600 - margin.left - margin.right,
height = 270 - margin.top - margin.bottom;
var parseDate = d3.time.format("%Y-%m-%d").parse;
//2015-06-20
// Set the ranges
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
// Define the axes
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(5);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(5).innerTickSize(-width)
.outerTickSize(0)
.tickPadding(10);;
// Define the line
var priceline = d3.svg.line().interpolate("basis")
.x(function(d) {
console.log(d.T1);
return x(d.T1);
})
.y(function(d) {
return y(d.NATURE_QUERY);
});
// Adds the svg canvas
var svg = d3.select(".chart2")
.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 + ")");
// Get the data
d3.csv("datahere2.csv", function(error, data) {
data.forEach(function(d) {
console.log(d.T1);
d.T1 = parseDate(d.T1);
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) {
return d.T1;
}));
y.domain([0, d3.max(data, function(d) {
return d.NATURE_QUERY;
})]);
// Nest the entries by symbol
var dataNest = d3.nest()
.key(function(d) {
return d.CLOSING_DEPT;
})
.entries(data);
console.log(dataNest);
// Loop through each symbol / key
dataNest.forEach(function(d) {
svg.append("path")
.attr("class", "line")
.attr("d", priceline(d.values));
});
dataNest.forEach(function(d){
var k = d.values
var last = k[k.length -1];
svg.append("circle")
.attr("cx", function(d){return x(last.T1);})
.attr("cy", function(d){return y(last.NATURE_QUERY);})
.attr("r", 4);
console.log(last)
svg.append("text")
.attr("x", function(){return x(last.T1) + 20;})
.attr("y", function(){return y(last.NATURE_QUERY);})
.text(function(){return last.NATURE_QUERY;})
})
// Add the X Axis
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Add the Y Axis
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
});
</script>
答案 0 :(得分:0)
将此添加到您的代码中:
var uniqueNames = [];
data.forEach(function(d) {
uniqueNames.push(d3.keys(d).filter(function(key) {
return key !== "NATURE_QUERY" /*&& key !== "exclude everything except CLOSING_DEPT "*/;
}));
});
uniqueNames = d3.set(d3.merge(uniqueNames)).values();
var legend = svg.selectAll(".legend")
.data(uniqueNames.sort())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) {
return "translate(0," + i * 20 + ")";
});
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 4)
.style("fill", function(d) {
return color(d);
});
legend.append("text")
.attr("x", width - 24)
.attr("y", 6)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) {
return d;
});
//uniqueNames is the filtered name unique set of each of the line in multiline chart(in your case CLOSING_DEPT).
对于多线的多色油:
svg.append("path")
.attr("class", "line")
.attr("d", priceline(d.values)) .style("stroke", function(d) {
return color(d.name);
});
以上是上述代码的example。根据您的要求更改数据和过滤逻辑。