[英]D3.js stacked bar chart layout.stack()
我在D3中是一個全新的人，並且我正嘗試在此要點的幫助下創建條形圖，但是我的數據與要點中的數據不同。 我的數據看起來像這樣
[
{"identifier":"HD 143761 b","period":"39.8458","method":"RV","year":"2016","status":"Confirmed planets"},
{"identifier":"HD 143761 c","period":"102.54","method":"RV","year":"2016","status":"Confirmed planets"},
{"identifier":"KOI-1843.03","period":"0.1768913","method":"transit","year":"2012","status":"Controversial"},
{"identifier":"HD 143761 b","period":"39.8458","method":"RV","year":"2016","status":"Confirmed planets"},
{"identifier":"HD 143761 c","period":"102.54","method":"RV","year":"2016","status":"Confirmed planets"},
{"identifier":"KOI-1843.03","period":"0.1768913","method":"transit","year":"2012","status":"Controversial"},
{"identifier":"GJ 160.2 b","period":"5.2354","method":"RV","year":"2014","status":"Controversial"},
{"identifier":"Kepler-566 b","period":"18.427946240","method":"transit","year":"2016","status":"Confirmed planets"}
]
我不了解如何為我的目的生成數據集。 我試圖用console.log記錄數據集var並以手動方式重新創建，但是沒有用。
這是我試圖做的，但是沒有用。
var figOne = [];
for (var i = 0; i < data.length; i++) {
if(data[i]['method'] in figOne)
{
if('"' + data[i]['year'] + '"' in figOne[data[i]['method']])
{
figOne[data[i]['method']]['"' + data[i]['year'] + '"'] += 1;
}
else
{
figOne[data[i]['method']]['"' + data[i]['year'] + '"'] = 1;
}
}
else
{
figOne[data[i]['method']] = [];
figOne[data[i]['method']]['"' + data[i]['year'] + '"'] = 1;
}
}
這是輸出到控制台的內容：
這是我的最新代碼：
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<title>d3.js learning</title>
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<style type="text/css">
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;
}
</style>
</head>
<body>
<script type="text/javascript">
// 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("body")
.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 = [{
"identifier": "HD 143761 b",
"period": "39.8458",
"method": "RV",
"year": "2016",
"status": "Confirmed planets"
},
{
"identifier": "HD 143761 c",
"period": "102.54",
"method": "RV",
"year": "2016",
"status": "Confirmed planets"
},
{
"identifier": "KOI-1843.03",
"period": "0.1768913",
"method": "transit",
"year": "2012",
"status": "Controversial"
},
{
"identifier": "HD 143761 b",
"period": "39.8458",
"method": "RV",
"year": "2016",
"status": "Confirmed planets"
},
{
"identifier": "HD 143761 c",
"period": "102.54",
"method": "RV",
"year": "2016",
"status": "Confirmed planets"
},
{
"identifier": "KOI-1843.03",
"period": "0.1768913",
"method": "transit",
"year": "2012",
"status": "Controversial"
},
{
"identifier": "GJ 160.2 b",
"period": "5.2354",
"method": "RV",
"year": "2014",
"status": "Controversial"
},
{
"identifier": "Kepler-566 b",
"period": "18.427946240",
"method": "transit",
"year": "2016",
"status": "Confirmed planets"
}
];
var newData1 = []
var keys = Array.from(new Set(data.map(function (d) {
return d.method;
})));
var years = Array.from(new Set(data.map(function (d) {
return d.year;
})));
for (i in keys) {
val = {}
val['method'] = keys[i]
for (j in data) {
if (data[j]['method'] == keys[i]) {
for (k2 in years) {
if (years[k2] == data[j]['year']) {
if (val.hasOwnProperty(data[j]['year'])) {
val[data[j]['year']] += 1
} else {
val[data[j]['year']] = 0
}
}
}
}
}
newData1.push(val)
}
console.log(JSON.stringify(newData1))
/*
var newData2 = []
for (i in keys) {
val = {}
val['method'] = keys[i]
for (k in years) {
val[years[k]] = 0
}
for (j in data) {
if (data[j]['method'] == keys[i]) {
for (k2 in years) {
if (years[k2] == data[j]['year']) {
val[data[j]['year']] += 1
}
}
}
}
newData2.push(val)
}
console.log(JSON.stringify(newData2))
*/
var parse = d3.time.format("%Y").parse;
// Transpose the data into layers
var dataset = d3.layout.stack()(["RV", "transit", "microlensing"].map(function (method) {
return newData1.map(function (d) {
return { x: parse(d.year), y: +d[method] };
});
}));
// 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"];
// 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 "RV";
case 1: return "Transit";
case 2: return "Microlensing";
}
});
// 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");
</script>
</body>
</html>
如果我理解正確，那么您希望每種方法以及每年的方法計數。
您的數據應如下所示：
[{"year":"2016","RV":4,"transit":1},
{"year":"2012","RV":0,"transit":2},
{"year":"2014","RV":1,"transit":0}]
請看下面的小提琴：
var data = [{ "identifier": "HD 143761 b", "period": "39.8458", "method": "RV", "year": "2016", "status": "Confirmed planets" }, { "identifier": "HD 143761 c", "period": "102.54", "method": "RV", "year": "2016", "status": "Confirmed planets" }, { "identifier": "KOI-1843.03", "period": "0.1768913", "method": "transit", "year": "2012", "status": "Controversial" }, { "identifier": "HD 143761 b", "period": "39.8458", "method": "RV", "year": "2016", "status": "Confirmed planets" }, { "identifier": "HD 143761 c", "period": "102.54", "method": "RV", "year": "2016", "status": "Confirmed planets" }, { "identifier": "KOI-1843.03", "period": "0.1768913", "method": "transit", "year": "2012", "status": "Controversial" }, { "identifier": "GJ 160.2 b", "period": "5.2354", "method": "RV", "year": "2014", "status": "Controversial" }, { "identifier": "Kepler-566 b", "period": "18.427946240", "method": "transit", "year": "2016", "status": "Confirmed planets" } ] var keys = Array.from(new Set(data.map(function(d) { return d.method; }))); var years = Array.from(new Set(data.map(function(d) { return d.year; }))); var newData2 = [] for (i in years) { val = {} val['year'] = years[i] for (k in keys) { val[keys[k]] = 0 } for (j in data) { if (data[j]['year'] == years[i]) { for (k2 in keys) { if (keys[k2] == data[j]['method']) { val[data[j]['method']] += 1 } } } } newData2.push(val) } console.log(JSON.stringify(newData2))
這是您共享的代碼的片段：
// Setup svg using Bostock's margin convention var margin = { top: 20, right: 160, bottom: 50, left: 30 }; var width = 960 - margin.left - margin.right, height = 500 - margin.top - margin.bottom; var svg = d3.select("body") .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 = [{ "identifier": "HD 143761 b", "period": "39.8458", "method": "RV", "year": "2016", "status": "Confirmed planets" }, { "identifier": "HD 143761 c", "period": "102.54", "method": "RV", "year": "2016", "status": "Confirmed planets" }, { "identifier": "KOI-1843.03", "period": "0.1768913", "method": "transit", "year": "2012", "status": "Controversial" }, { "identifier": "HD 143761 b", "period": "39.8458", "method": "RV", "year": "2016", "status": "Confirmed planets" }, { "identifier": "HD 143761 c", "period": "102.54", "method": "RV", "year": "2016", "status": "Confirmed planets" }, { "identifier": "KOI-1843.03", "period": "0.1768913", "method": "transit", "year": "2012", "status": "Controversial" }, { "identifier": "GJ 160.2 b", "period": "5.2354", "method": "RV", "year": "2014", "status": "Controversial" }, { "identifier": "Kepler-566 b", "period": "18.427946240", "method": "transit", "year": "2016", "status": "Confirmed planets" }, { "identifier": "Kepler-566 b", //Dummy data added "period": "18.427946240", "method": "microlensing", "year": "2012", "status": "Confirmed planets" }, { "identifier": "Kepler-566 b", "period": "18.427946240", "method": "microlensing", "year": "2014", "status": "Confirmed planets" } ]; var keys = Array.from(new Set(data.map(function(d) { return d.method; }))); var years = Array.from(new Set(data.map(function(d) { return d.year; }))); /* var newData1 = [] for (i in keys) { val = {} val['method'] = keys[i] for (j in data) { if (data[j]['method'] == keys[i]) { for (k2 in years) { if (years[k2] == data[j]['year']) { if (val.hasOwnProperty(data[j]['year'])) { val[data[j]['year']] += 1 } else { val[data[j]['year']] = 0 } } } } } newData1.push(val) } console.log(JSON.stringify(newData1))*/ var newData1 = [] for (i in years) { val = {} val['year'] = years[i] for (k in keys) { val[keys[k]] = 0 } for (j in data) { if (data[j]['year'] == years[i]) { for (k2 in keys) { if (keys[k2] == data[j]['method']) { val[data[j]['method']] += 1 } } } } newData1.push(val) } newData1.sort(function(x, y) { return d3.ascending(x.year, y.year); }) console.log(JSON.stringify(newData1)) var parse = d3.time.format("%Y").parse; // Transpose the data into layers var dataset = d3.layout.stack()(["RV", "transit", "microlensing"].map(function(method) { return newData1.map(function(d) { return { x: parse(d.year), y: +d[method] }; }); })); // Set x, y and colors var x = d3.scale.ordinal() .domain(dataset[0].map(function(d) { return dx; })) .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 + dy; }); })]) .range([height, 0]); var colors = ["b33040", "#d25c4d", "#f2b447"]; // 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(dx); }) .attr("y", function(d) { return y(d.y0 + dy); }) .attr("height", function(d) { return y(d.y0) - y(d.y0 + dy); }) .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(dy); }); // 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()[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 "RV"; case 1: return "Transit"; case 2: return "Microlensing"; } }); // 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://cdnjs.cloudflare.com/ajax/libs/d3/3.3.13/d3.min.js"></script>
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