如何在 D3 中生成多个多线图面板?
How to generate multiple panels of multilines plots in D3?
我正在尝试使用 2 级嵌套数据结构在 D3 中生成多条线图的多个面板。
谁能告诉我如何正确生成线图。我凭直觉尝试使用 2 级嵌套数据结构,但我找不到如何在相应的面板中正确分布行。
在这里查看我目前的结果:
http://jtremblay.github.io/viz/example.html
这是我的代码。
var s = `condition,taxon,abundance,date
condition01,speciesA,0.31,2017-04-13
condition01,speciesA,0.54,2017-04-20
condition01,speciesB,0.21,2017-04-13
condition01,speciesB,0.60,2017-04-20
condition02,speciesA,0.31,2017-04-13
condition02,speciesA,0.48,2017-04-20
condition02,speciesB,0.19,2017-04-13
condition02,speciesB,0.61,2017-04-20
condition03,speciesA,0.13,2017-04-13
condition03,speciesA,0.11,2017-04-20
condition03,speciesB,0.04,2017-04-13
condition03,speciesB,0.11,2017-04-20
`;
var data = d3.csvParse(s);
data.forEach(function(d) { // Make every date in the csv data a javascript date object format
var aDate = new Date(d.date);
d.date = aDate;
});
var taxa = data.map(function (d){
return d.taxon
});
taxa = taxa.filter(onlyUniqueArray);
var dates = data.map(function (d){
return d.dates
});
var dataNested = d3.nest() // nest function allows to group the calculation per level of a factor
.key(function(d) { return d.condition;})
.key(function(d) { return d.taxon;})
.entries(data);
console.log(dataNested);
var fillColors = ["#0000CD", "#00FF00", "#FF0000", "#808080"]
// color palette
var color = d3.scaleOrdinal()
.domain(taxa)
.range(fillColors);
//Margins
var margin = { top: 20, right: 20, bottom: 60, left: 50},
width = 500 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
// Define dom and svg
var dom = d3.select("#viz");
var svg = dom.selectAll("multipleLineCharts")
.data(dataNested)
.enter()
.append("div")
.attr("class", "chart")
.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 + ")")
//.attr("fake", function(d) {console.log("d inside svg:"); console.log(d);})
// Add X axis --> it is a date format
var xScale = d3.scaleTime()
.rangeRound([0, width])
xScale.domain(d3.extent(data, function(d) {return d.date; }));
svg
.append("g")
.attr("transform", "translate(0," + height + ")")
.attr("class", "x axis")
.call(d3.axisBottom(xScale))
.selectAll("text")
.style("text-anchor", "end")
.attr("transform", "rotate(-90)")
.attr("dx", "-0.8em")
.attr("dy", "-0.45em")
//Add Y axis - Here because we want all panels to be on same scale, we cant use the dates from the global data structure.
var yScale = d3.scaleLinear()
.domain([
d3.min(data, function(d) { return d.abundance; } ),
d3.max(data, function(d) { return d.abundance; } )
])
.range([ height, 0 ]);
svg.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(yScale).ticks(5));
//Add Z scale (colors)
var zScale = d3.scaleOrdinal()
.range(fillColors);
zScale.domain(taxa);
// generate lines.
svg
.append("path")
.attr("class", "line")
.style("stroke", function(d) { return zScale(d.key); })
.attr("d", function(d, i){
return d3.line()
.x(function(d) { return xScale(d.date); })
.y(function(d) { return yScale(d.abundance); })
(data); //I know something else should go in there, but can't figure out what/how exactly...
})
/* Util functions */
function onlyUniqueArray(value, index, self) {
return self.indexOf(value) === index;
}
我不明白如何有效地处理我想做的事情的数据结构...
我的 2x 嵌套数据结构是否足以满足我要完成的任务?我尝试过使用一级嵌套数据结构,但没有成功。
终于解决了。这个例子帮助我理解了如何处理嵌套选择:http://bl.ocks.org/stepheneb/1183998
基本上,最后一段代码被替换为:
// generate lines.
var lines = svg.selectAll("lines")
.data(function(d) { return d.values;})
.enter()
.append("path")
.attr("class", "line")
.attr("d", function(d){
return d3.line()
.x(function(d) { return xScale(d.date); })
.y(function(d) { return yScale(d.abundance); })
(d.values);
})
.style("stroke", function(d) { return zScale(d.key); })
我正在尝试使用 2 级嵌套数据结构在 D3 中生成多条线图的多个面板。
谁能告诉我如何正确生成线图。我凭直觉尝试使用 2 级嵌套数据结构,但我找不到如何在相应的面板中正确分布行。
在这里查看我目前的结果: http://jtremblay.github.io/viz/example.html
这是我的代码。
var s = `condition,taxon,abundance,date
condition01,speciesA,0.31,2017-04-13
condition01,speciesA,0.54,2017-04-20
condition01,speciesB,0.21,2017-04-13
condition01,speciesB,0.60,2017-04-20
condition02,speciesA,0.31,2017-04-13
condition02,speciesA,0.48,2017-04-20
condition02,speciesB,0.19,2017-04-13
condition02,speciesB,0.61,2017-04-20
condition03,speciesA,0.13,2017-04-13
condition03,speciesA,0.11,2017-04-20
condition03,speciesB,0.04,2017-04-13
condition03,speciesB,0.11,2017-04-20
`;
var data = d3.csvParse(s);
data.forEach(function(d) { // Make every date in the csv data a javascript date object format
var aDate = new Date(d.date);
d.date = aDate;
});
var taxa = data.map(function (d){
return d.taxon
});
taxa = taxa.filter(onlyUniqueArray);
var dates = data.map(function (d){
return d.dates
});
var dataNested = d3.nest() // nest function allows to group the calculation per level of a factor
.key(function(d) { return d.condition;})
.key(function(d) { return d.taxon;})
.entries(data);
console.log(dataNested);
var fillColors = ["#0000CD", "#00FF00", "#FF0000", "#808080"]
// color palette
var color = d3.scaleOrdinal()
.domain(taxa)
.range(fillColors);
//Margins
var margin = { top: 20, right: 20, bottom: 60, left: 50},
width = 500 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
// Define dom and svg
var dom = d3.select("#viz");
var svg = dom.selectAll("multipleLineCharts")
.data(dataNested)
.enter()
.append("div")
.attr("class", "chart")
.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 + ")")
//.attr("fake", function(d) {console.log("d inside svg:"); console.log(d);})
// Add X axis --> it is a date format
var xScale = d3.scaleTime()
.rangeRound([0, width])
xScale.domain(d3.extent(data, function(d) {return d.date; }));
svg
.append("g")
.attr("transform", "translate(0," + height + ")")
.attr("class", "x axis")
.call(d3.axisBottom(xScale))
.selectAll("text")
.style("text-anchor", "end")
.attr("transform", "rotate(-90)")
.attr("dx", "-0.8em")
.attr("dy", "-0.45em")
//Add Y axis - Here because we want all panels to be on same scale, we cant use the dates from the global data structure.
var yScale = d3.scaleLinear()
.domain([
d3.min(data, function(d) { return d.abundance; } ),
d3.max(data, function(d) { return d.abundance; } )
])
.range([ height, 0 ]);
svg.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(yScale).ticks(5));
//Add Z scale (colors)
var zScale = d3.scaleOrdinal()
.range(fillColors);
zScale.domain(taxa);
// generate lines.
svg
.append("path")
.attr("class", "line")
.style("stroke", function(d) { return zScale(d.key); })
.attr("d", function(d, i){
return d3.line()
.x(function(d) { return xScale(d.date); })
.y(function(d) { return yScale(d.abundance); })
(data); //I know something else should go in there, but can't figure out what/how exactly...
})
/* Util functions */
function onlyUniqueArray(value, index, self) {
return self.indexOf(value) === index;
}
我不明白如何有效地处理我想做的事情的数据结构... 我的 2x 嵌套数据结构是否足以满足我要完成的任务?我尝试过使用一级嵌套数据结构,但没有成功。
终于解决了。这个例子帮助我理解了如何处理嵌套选择:http://bl.ocks.org/stepheneb/1183998
基本上,最后一段代码被替换为:
// generate lines.
var lines = svg.selectAll("lines")
.data(function(d) { return d.values;})
.enter()
.append("path")
.attr("class", "line")
.attr("d", function(d){
return d3.line()
.x(function(d) { return xScale(d.date); })
.y(function(d) { return yScale(d.abundance); })
(d.values);
})
.style("stroke", function(d) { return zScale(d.key); })