我想绘制堆栈条形图+折线图+重叠图表。喜欢这个Pic
但是我使用d3,我这样做只是为了:“Stack chart”下面的代码。我想用重叠图和附加的折线图绘制此图表。我担心了一个月,但我不知道。下面的注释代码是我尝试过的代码。它根本不起作用。
// Setup svg using Bostock's margin convention
var margin = {top: 20, right: 160, bottom: 35, left: 30};
var width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var svg = d3.select("#test_con")
.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 in strings like it would be if imported from a csv */
var data = [
{ year: "2006", redDelicious: "30", mcintosh: "15", oranges: "9", pears: "6" ,per: "10" },
{ year: "2007", redDelicious: "12", mcintosh: "18", oranges: "9", pears: "4" ,per: "10" },
{ year: "2008", redDelicious: "05", mcintosh: "20", oranges: "8", pears: "2" ,per: "10" },
{ year: "2009", redDelicious: "01", mcintosh: "15", oranges: "5", pears: "4" ,per: "10" },
{ year: "2010", redDelicious: "02", mcintosh: "10", oranges: "4", pears: "2" ,per: "10" },
{ year: "2011", redDelicious: "03", mcintosh: "12", oranges: "6", pears: "3" ,per: "10" },
{ year: "2012", redDelicious: "04", mcintosh: "15", oranges: "8", pears: "1" ,per: "10" },
{ year: "2013", redDelicious: "06", mcintosh: "11", oranges: "9", pears: "4" ,per: "10" },
{ year: "2014", redDelicious: "10", mcintosh: "13", oranges: "9", pears: "5" ,per: "10" },
{ year: "2015", redDelicious: "16", mcintosh: "19", oranges: "6", pears: "9" ,per: "10" },
{ year: "2016", redDelicious: "19", mcintosh: "17", oranges: "5", pears: "7" ,per: "10" },
];
var parse = d3.time.format("%Y").parse;
// Transpose the data into layers
var dataset = d3.layout.stack()(["redDelicious", "mcintosh", "oranges", "pears"].map(function(fruit) {
return data.map(function(d) {
return {x: parse(d.year), y: +d[fruit]};
});
}));
// Set x, y and colors
var x = d3.scale.ordinal()
.domain(dataset[0].map(function(d) { return d.x; }))
.rangeRoundBands([10, width-10], 0.02);
var y = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) { return d3.max(d, function(d) { return d.y0 + d.y; }); })])
.range([height, 0]);
var colors = ["b33040", "#d25c4d", "#f2b447", "#d9d574"];
// Define and draw axes
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5)
.tickSize(-width, 0, 0)
.tickFormat( function(d) { return d } );
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickFormat(d3.time.format("%Y"));
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Create groups for each series, rects for each segment
var groups = svg.selectAll("g.cost")
.data(dataset)
.enter().append("g")
.attr("class", "cost")
.style("fill", function(d, i) { return colors[i]; });
var rect = groups.selectAll("rect")
.data(function(d) { return d; })
.enter()
.append("rect")
.attr("x", function(d) { return x(d.x); })
.attr("y", function(d) { return y(d.y0 + d.y); })
.attr("height", function(d) { return y(d.y0) - y(d.y0 + d.y); })
.attr("width", x.rangeBand())
.on("mouseover", function() { tooltip.style("display", null); })
.on("mouseout", function() { tooltip.style("display", "none"); })
.on("mousemove", function(d) {
var xPosition = d3.mouse(this)[0] - 15;
var yPosition = d3.mouse(this)[1] - 25;
tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
tooltip.select("text").text(d.y);
});
// Draw legend
var legend = svg.selectAll(".legend")
.data(colors)
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(30," + i * 19 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", function(d, i) {return colors.slice().reverse()[i];});
legend.append("text")
.attr("x", width + 5)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "start")
.text(function(d, i) {
switch (i) {
case 0: return "Anjou pears";
case 1: return "Naval oranges";
case 2: return "McIntosh apples";
case 3: return "Red Delicious apples";
}
});
// Prep the tooltip bits, initial display is hidden
var tooltip = svg.append("g")
.attr("class", "tooltip")
.style("display", "none");
tooltip.append("rect")
.attr("width", 30)
.attr("height", 20)
.attr("fill", "white")
.style("opacity", 0.5);
tooltip.append("text")
.attr("x", 15)
.attr("dy", "1.2em")
.style("text-anchor", "middle")
.attr("font-size", "12px")
.attr("font-weight", "bold");
svg {
font: 10px sans-serif;
shape-rendering: crispEdges;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
}
path.domain {
stroke: none;
}
.y .tick line {
stroke: #ddd;
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<div id="test_con"></div>
答案 0 :(得分:0)
首先,为每个对象创建一个总计:
data.forEach(function(d) {
d.total = d3.sum(Object.keys(d).splice(1, 4).map(function(e) {
return +d[e]
}));
})
然后,在行生成器中使用该总计:
var lineGenerator = d3.svg.line()
.x(function(d) {
return x(parse(d.year)) + x.rangeBand() / 2
})
.y(function(d) {
return y(d.total)
});
最后,添加以下行:
var line = svg.append("path")
.attr("fill", "none")
.attr("stroke", "blue")
.attr("d", lineGenerator(data))
以下是演示:
// Setup svg using Bostock's margin convention
var margin = {
top: 20,
right: 160,
bottom: 35,
left: 30
};
var width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var svg = d3.select("#test_con")
.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 in strings like it would be if imported from a csv */
var data = [{
year: "2006",
redDelicious: "30",
mcintosh: "15",
oranges: "9",
pears: "6",
per: "10"
}, {
year: "2007",
redDelicious: "12",
mcintosh: "18",
oranges: "9",
pears: "4",
per: "10"
}, {
year: "2008",
redDelicious: "05",
mcintosh: "20",
oranges: "8",
pears: "2",
per: "10"
}, {
year: "2009",
redDelicious: "01",
mcintosh: "15",
oranges: "5",
pears: "4",
per: "10"
}, {
year: "2010",
redDelicious: "02",
mcintosh: "10",
oranges: "4",
pears: "2",
per: "10"
}, {
year: "2011",
redDelicious: "03",
mcintosh: "12",
oranges: "6",
pears: "3",
per: "10"
}, {
year: "2012",
redDelicious: "04",
mcintosh: "15",
oranges: "8",
pears: "1",
per: "10"
}, {
year: "2013",
redDelicious: "06",
mcintosh: "11",
oranges: "9",
pears: "4",
per: "10"
}, {
year: "2014",
redDelicious: "10",
mcintosh: "13",
oranges: "9",
pears: "5",
per: "10"
}, {
year: "2015",
redDelicious: "16",
mcintosh: "19",
oranges: "6",
pears: "9",
per: "10"
}, {
year: "2016",
redDelicious: "19",
mcintosh: "17",
oranges: "5",
pears: "7",
per: "10"
}];
data.forEach(function(d){
d.total = d3.sum(Object.keys(d).splice(1,4).map(function(e){
return +d[e]
}));
})
var parse = d3.time.format("%Y").parse;
// Transpose the data into layers
var dataset = d3.layout.stack()(["redDelicious", "mcintosh", "oranges", "pears"].map(function(fruit) {
return data.map(function(d) {
return {
x: parse(d.year),
y: +d[fruit]
};
});
}));
// Set x, y and colors
var x = d3.scale.ordinal()
.domain(dataset[0].map(function(d) {
return d.x;
}))
.rangeRoundBands([10, width - 10], 0.02);
var y = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) {
return d3.max(d, function(d) {
return d.y0 + d.y;
});
})])
.range([height, 0]);
var lineGenerator = d3.svg.line()
.x(function(d){return x(parse(d.year)) + x.rangeBand()/2})
.y(function(d){return y(d.total)})
.interpolate("monotone")
var colors = ["b33040", "#d25c4d", "#f2b447", "#d9d574"];
// Define and draw axes
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5)
.tickSize(-width, 0, 0)
.tickFormat(function(d) {
return d
});
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickFormat(d3.time.format("%Y"));
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
// Create groups for each series, rects for each segment
var groups = svg.selectAll("g.cost")
.data(dataset)
.enter().append("g")
.attr("class", "cost")
.style("fill", function(d, i) {
return colors[i];
});
var rect = groups.selectAll("rect")
.data(function(d) {
return d;
})
.enter()
.append("rect")
.attr("x", function(d) {
return x(d.x);
})
.attr("y", function(d) {
return y(d.y0 + d.y);
})
.attr("height", function(d) {
return y(d.y0) - y(d.y0 + d.y);
})
.attr("width", x.rangeBand())
.on("mouseover", function() {
tooltip.style("display", null);
})
.on("mouseout", function() {
tooltip.style("display", "none");
})
.on("mousemove", function(d) {
var xPosition = d3.mouse(this)[0] - 15;
var yPosition = d3.mouse(this)[1] - 25;
tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
tooltip.select("text").text(d.y);
});
var line = svg.append("path")
.attr("fill", "none")
.attr("stroke", "blue")
.attr("d", lineGenerator(data))
// Draw legend
var legend = svg.selectAll(".legend")
.data(colors)
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) {
return "translate(30," + i * 19 + ")";
});
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", function(d, i) {
return colors.slice().reverse()[i];
});
legend.append("text")
.attr("x", width + 5)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "start")
.text(function(d, i) {
switch (i) {
case 0:
return "Anjou pears";
case 1:
return "Naval oranges";
case 2:
return "McIntosh apples";
case 3:
return "Red Delicious apples";
}
});
// Prep the tooltip bits, initial display is hidden
var tooltip = svg.append("g")
.attr("class", "tooltip")
.style("display", "none");
tooltip.append("rect")
.attr("width", 30)
.attr("height", 20)
.attr("fill", "white")
.style("opacity", 0.5);
tooltip.append("text")
.attr("x", 15)
.attr("dy", "1.2em")
.style("text-anchor", "middle")
.attr("font-size", "12px")
.attr("font-weight", "bold");
svg {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
}
path.domain {
stroke: none;
}
.y .tick line {
stroke: #ddd;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<div id="test_con"></div>