我正在尝试将基于example的严格D3.js示例结合起来。我设法在部分工作中为每个多重图表获取鼠标悬停(值不会显示在鼠标指针但是通过console.log)。通过检查这些值,我意识到上面两个图表中的线路路径相对于Y轴是关闭的,也导致鼠标悬停焦点位于错误的位置。我是D3的新手,所以我仍然无法确定由域/比例/轴等引起的问题。您可以看到示例here
这是我的代码:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
margin: 0;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
//shape-rendering: crispEdges;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
.area {
//fill: #e7e7e7;
fill: transparent;
}
.overlay {
fill: none;
pointer-events: all;
}
.focus circle {
fill: none;
stroke: steelblue;
}
</style>
<body>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script>
var margin = {top: 8, right: 10, bottom: 20, left: 30},
width = 960 - margin.left - margin.right,
height = 138 - margin.top - margin.bottom;
var parseDate = d3.time.format("%b %Y").parse,
bisectDate = d3.bisector(function(d) { return d.date; }).left,
formatValue = d3.format(",.2f"),
formatCurrency = function(d) { return formatValue(d); };
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height, 0]);
var area = d3.svg.area()
.x(function(d) { return x(d.date); })
.y0(height)
.y1(function(d) { return y(d.price); });
var line = d3.svg.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.price); });
var xAxis = d3.svg.axis()
.scale(x) // x is the d3.time.scale()
.orient("bottom") // the ticks go below the graph
.ticks(4); // specify the number of ticks
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(4);
d3.csv("stocks_chart2.csv", type, function(error, data) {
// Nest data by symbol.
var symbols = d3.nest()
.key(function(d) { return d.symbol; })
.entries(data);
// Compute the maximum price per symbol, needed for the y-domain.
symbols.forEach(function(s) {
s.maxPrice = d3.max(s.values, function(d) { return d.price; });
});
// Compute the minimum and maximum date across symbols.
// We assume values are sorted by date.
x.domain([
d3.min(symbols, function(s) { return s.values[0].date; }),
d3.max(symbols, function(s) { return s.values[s.values.length - 1].date; })
]);
// Add an SVG element for each symbol, with the desired dimensions and margin.
var svg = d3.select("body").selectAll("svg")
.data(symbols)
.enter().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 + ")");
// Add the area path elements. Note: the y-domain is set per element.
svg.append("path")
.attr("class", "area")
.attr("d", function(d) { y.domain([0, d.maxPrice]); return area(d.values); });
// Add the line path elements. Note: the y-domain is set per element.
svg.append("path")
.attr("class", "line")
.attr("d", function(d) { y.domain([0, d.maxPrice]); return line(d.values); });
// Add a small label for the symbol name.
svg.append("text")
.attr("x", width - 6)
.attr("y", height - 6)
.style("text-anchor", "end")
.text(function(d) { return d.key; });
svg.append('g') // create a <g> element
.attr('class', 'x axis') // specify classes
.attr("transform", "translate(0," + height + ")")
.call(xAxis); // let the axis do its thing
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Value");
var focus = svg.append("g")
.attr("class", "focus")
.style("display", "none");
focus.append("circle")
.attr("r", 4.5);
focus.append("text")
.attr("x", 9)
.attr("dy", ".35em");
svg.append("rect")
.attr("class", "overlay")
.attr("width", width)
.attr("height", height)
.on("mouseover", function() { focus.style("display", null); })
.on("mouseout", function() { focus.style("display", "none"); })
.on("mousemove", mousemove);
function mousemove() {
var date, index;
date = x.invert(d3.mouse(this)[0]);
index = 0;
var focus = svg.selectAll(".focus");
focus.attr("transform", function(d) {
index = bisectDate(d.values, date, 0, d.values.length - 1);
console.log(index, d.values[index].symbol, d.values[index].date, d.values[index].price);
return "translate(" + x(d.values[index].date) + "," + y(d.values[index].price) + ")"
});
focus.selectAll("text", function(d) {
return formatCurrency(d.values[index].price);
});
}
});
function type(d) {
d.price = +d.price;
d.date = parseDate(d.date);
return d;
}
</script>
如何为每个单独的多重图表分配正确的Y轴,从而使线路径和鼠标悬停值处于正确的位置?任何帮助将不胜感激!谢谢!
答案 0 :(得分:1)
这是一个有趣的问题。您链接到的示例对所有4个子图使用单个y
比例和yAxis
。但是,在您的情况下,您的数据对于每个子图具有非常不同的域,并且当您在共享比例上添加动态鼠标时,将无法工作。因此,我的解决方案是为每个子图创建不同的y
比例和yAxis
。
...
// variable to hold our scales
var ys = {};
var area = d3.svg.area()
.x(function(d) {
return x(d.date);
})
.y0(height)
.y1(function(d) {
return ys[d.symbol](d.price); //<-- call the y function matched to our symbol
});
var line = d3.svg.line()
.x(function(d) {
return x(d.date);
})
.y(function(d, i) {
return ys[d.symbol](d.price); //<-- call the y scale function matched to our symbol
});
...
// for each symbol create our scale
symbols.forEach(function(s) {
var maxPrice = d3.max(s.values, function(d) {
return d.price;
});
ys[s.key] = d3.scale.linear() //<-- create a scale for each "symbol" (ie Sensor 1, etc...)
.range([height, 0])
.domain([0, maxPrice]);
});
...
// build 4 y axis
var axisGs = svg.append("g"); //<-- create a collection of axisGs
axisGs
.attr("class", "y axis")
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Value");
axisGs.each(function(d, i) { //<-- for each axisG create an axis with it's scale
var self = d3.select(this);
self.call(
d3.svg.axis()
.scale(ys[d.key])
.orient("left")
.ticks(4)
);
});
...
// adjust mouseover to use appropriate scale
focus.attr("transform", function(d) {
index = bisectDate(d.values, date, 0, d.values.length - 1);
console.log(index, d.values[index].symbol, d.values[index].date, d.values[index].price);
return "translate(" + x(d.values[index].date) + "," + ys[d.key](d.values[index].price) + ")"; //<-- finally in our mouse move use the appropriate scale
});
完全正常工作的代码here。
答案 1 :(得分:1)
就处理n个数据集时的最佳实践而言,您必须选择n个y比例及其对应的y轴。它有利于分离关注并保持可视化。在这里你可以看到这个例子。