D3：如何对多系列折线图使用exit（）。remove（） [英] D3: How to use exit().remove() for Multi-Series Line Chart
本文介绍了D3：如何对多系列折线图使用exit（）。remove（）的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
对于d3的多系列折线图（ d3.v4.js ）：
For the Multi-Series Line Chart of d3 (d3.v4.js):
https://bl.ocks.org/mbostock/3884955
如果我想用不同的输入数据重绘图表，那么 exit（）。remove（）的功能如何应用？
how has the exit().remove() functionality to be applied, if I want to redraw the chart with different input data?
function myGraphic(myData) {
var svg = d3.select("svg"),
margin = {top: 20, right: 80, bottom: 30, left: 50},
width = svg.attr("width") - margin.left - margin.right,
height = svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x = d3.scaleTime().range([0, width]),
y = d3.scaleLinear().range([height, 0]),
z = d3.scaleOrdinal(d3.schemeCategory10);
var line = d3.line()
.x(function (d) {
return x(d.date);
})
.y(function (d) {
return y(d.temperature);
});
//noinspection JSUnresolvedVariable
var data = myData.dataList;
//noinspection JSUnresolvedVariable
data.columns = ["date", "value1", myData.referenceName];
var cities = data.columns.slice(1).map(function (id) {
return {
id: id,
values: data.map(function (d) {
return {date: d.date, temperature: d[id]};
})
};
});
x.domain(d3.extent(data, function (d) {
return d.date;
}));
y.domain([
d3.min(cities, function (c) {
return d3.min(c.values, function (d) {
return d.temperature;
});
}),
d3.max(cities, function (c) {
return d3.max(c.values, function (d) {
return d.temperature;
});
})
]);
z.domain(cities.map(function (c) {
return c.id;
}));
var xAxisScale2 = d3.scaleTime()
.domain([new Date(2014, 0, 1), new Date(2016, 0, 1, 0)])
.rangeRound([20, width - 20]);
var xAxis = d3.axisBottom(x);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(xAxis.ticks(d3.timeYear));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("fill", "#000")
.text("Temperature");
var city = g.selectAll(".city")
.data(cities)
.enter().append("g")
.attr("class", "city");
city.append("path")
.attr("class", "line")
.attr("d", function (d) {
return line(d.values);
})
.style("stroke", function (d) {
return z(d.id);
});
city.append("text")
.datum(function (d) {
return {id: d.id, value: d.values[d.values.length - 1]};
})
.attr("transform", function (d) {
return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")";
})
.attr("x", 3)
.attr("dy", "0.35em")
.style("font", "10px sans-serif")
.text(function (d) {
return d.id;
});
city.exit().remove();
}
更新：
UPDATE:
我试图合并 @Gerardo Furtado 但是这里看起来仍然有问题：
I tried to incorporate the proposal of @Gerardo Furtado but something seems still to be wrong here:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.axis--x path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
</style>
<button>Click me</button>
<svg width="960" height="500"></svg>
<!--<script src="//d3js.org/d3.v4.min.js"></script>-->
<script src="d3.v4.js"></script>
<!--<script src="v03-exit-funktioniert-3-evolution.js"></script>-->
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 80, bottom: 30, left: 50},
width = svg.attr("width") - margin.left - margin.right,
height = svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var parseTime = d3.timeParse("%Y%m%d");
var x = d3.scaleTime().range([0, width]),
y = d3.scaleLinear().range([height, 0]),
z = d3.scaleOrdinal(d3.schemeCategory10);
var line = d3.line()
.curve(d3.curveBasis)
.x(function (d) {
return x(d.date);
})
.y(function (d) {
return y(d.temperature);
});
var data = [
{"date": "1136156400000", "New York": 63.4, "San Francisco": 62.7, "Austin": 72.2},
{"date": "1167692400000", "New York": 58.0, "San Francisco": 59.9, "Austin": 67.7},
{"date": "1199228400000", "New York": 53.3, "San Francisco": 59.1, "Austin": 69.4},
{"date": "1230850800000", "New York": 55.7, "San Francisco": 58.8, "Austin": 68.0},
{"date": "1262386800000", "New York": 62.3, "San Francisco": 55.1, "Austin": 71.9}];
var data2 = [
{"date": "1136156400000", "New York": 163.4, "San Francisco": 262.7, "Austin": 372.2},
{"date": "1167692400000", "New York": 158.0, "San Francisco": 259.9, "Austin": 367.7},
{"date": "1199228400000", "New York": 153.3, "San Francisco": 259.1, "Austin": 369.4},
{"date": "1230850800000", "New York": 155.7, "San Francisco": 258.8, "Austin": 368.0},
{"date": "1262386800000", "New York": 162.3, "San Francisco": 255.1, "Austin": 371.9}];
// d3.tsv("data.tsv", type, function (error, data) {
// if (error) throw error;
data.columns = ["date", "New York", "San Francisco", "Austin"];
var cities = data.columns.slice(1).map(function (id) {
return {
id: id,
values: data.map(function (d) {
return {date: d.date, temperature: d[id]};
})
};
});
x.domain(d3.extent(data, function (d) {
return d.date;
}));
y.domain([
d3.min(cities, function (c) {
return d3.min(c.values, function (d) {
return d.temperature;
});
}),
d3.max(cities, function (c) {
return d3.max(c.values, function (d) {
return d.temperature;
});
})
]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("fill", "#000")
.text("Temperature, ºF");
update();
d3.select("button").on("click", function () {
// cities.splice(0, 1);
data = data2;
console.log(cities);
// console.log(JSON.stringify(cities));
update();
});
function update() {
data.columns = ["date", "New York", "San Francisco", "Austin"];
cities = data.columns.slice(1).map(function (id) {
return {
id: id,
values: data.map(function (d) {
return {date: d.date, temperature: d[id]};
})
};
});
x.domain(d3.extent(data, function (d) {
return d.date;
}));
y.domain([
d3.min(cities, function (c) {
return d3.min(c.values, function (d) {
return d.temperature;
});
}),
d3.max(cities, function (c) {
return d3.max(c.values, function (d) {
return d.temperature;
});
})
]);
z.domain(cities.map(function (c) {
return c.id;
}));
var city = g.selectAll(".city")
.data(cities);
city.exit().remove();
var cityEnter = city.enter().append("g")
.attr("class", "city");
cityEnter.append("path")
.attr("class", "line")
.attr("d", function (d) {
return line(d.values);
})
.style("stroke", function (d) {
return z(d.id);
});
cityEnter.append("text")
.datum(function (d) {
return {id: d.id, value: d.values[d.values.length - 1]};
})
.attr("transform", function (d) {
return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")";
})
.attr("x", 3)
.attr("dy", "0.35em")
.style("font", "10px sans-serif")
.text(function (d) {
return d.id;
});
}
// });
function type(d, _, columns) {
d.date = parseTime(d.date);
for (var i = 1, n = columns.length, c; i < n; ++i) d[c = columns[i]] = +d[c];
return d;
}
</script>
UPDATE2：
UPDATE2:
（希望）只有一个关于标签名称及其位置的主题：
There is (hopefully) just one topic open regarding label names and their position:
<script src="https://d3js.org/d3.v4.min.js"></script>
<style>
.axis--x path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
</style>
<button>Click me</button>
<svg width="960" height="500"></svg>
<!--<script src="//d3js.org/d3.v4.min.js"></script>-->
<script src="d3.v4.js"></script>
<!--<script src="v03-exit-funktioniert-3-evolution.js"></script>-->
<script>
var svg = d3.select("svg"),
margin = {
top: 20,
right: 80,
bottom: 30,
left: 50
},
width = svg.attr("width") - margin.left - margin.right,
height = svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var parseTime = d3.timeParse("%Y%m%d");
var x = d3.scaleTime().range([0, width]),
y = d3.scaleLinear().range([height, 0]),
z = d3.scaleOrdinal(d3.schemeCategory10);
var line = d3.line()
.curve(d3.curveBasis)
.x(function (d) {
return x(d.date);
})
.y(function (d) {
return y(d.temperature);
});
var data = [{
"date": "1136156400000",
"Old York": 63.4,
"San Francisco": 62.7,
"Austin": 72.2
}, {
"date": "1167692400000",
"Old York": 58.0,
"San Francisco": 59.9,
"Austin": 67.7
}, {
"date": "1199228400000",
"Old York": 53.3,
"San Francisco": 59.1,
"Austin": 69.4
}, {
"date": "1230850800000",
"Old York": 55.7,
"San Francisco": 58.8,
"Austin": 68.0
}, {
"date": "1262386800000",
"Old York": 62.3,
"San Francisco": 55.1,
"Austin": 71.9
}];
var data2 = [{
"date": "1136156400000",
"New York": 263.4,
"San Francisco": 262.7,
"Austin": 372.2
}, {
"date": "1167692400000",
"New York": 458.0,
"San Francisco": 259.9,
"Austin": -367.7
}, {
"date": "1199228400000",
"New York": 153.3,
"San Francisco": 259.1,
"Austin": 369.4
}, {
"date": "1230850800000",
"New York": 155.7,
"San Francisco": 258.8,
"Austin": 368.0
}, {
"date": "1262386800000",
"New York": 162.3,
"San Francisco": 255.1,
"Austin": 371.9
}];
// d3.tsv("data.tsv", type, function (error, data) {
// if (error) throw error;
data.columns = ["date", "Old York", "San Francisco", "Austin"];
var cities = data.columns.slice(1).map(function (id) {
return {
id: id,
values: data.map(function (d) {
return {
date: d.date,
temperature: d[id]
};
})
};
});
x.domain(d3.extent(data, function (d) {
return d.date;
}));
y.domain([
d3.min(cities, function (c) {
return d3.min(c.values, function (d) {
return d.temperature;
});
}),
d3.max(cities, function (c) {
return d3.max(c.values, function (d) {
return d.temperature;
});
})
]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("fill", "#000")
.text("Temperature, ºF");
update();
d3.select("button").on("click", function () {
// cities.splice(0, 1);
data = data2;
data.columns = ["date", "New York", "San Francisco", "Austin"];
// console.log(JSON.stringify(cities));
update();
});
function update() {
cities = data.columns.slice(1).map(function (id) {
return {
id: id,
values: data.map(function (d) {
return {
date: d.date,
temperature: d[id]
};
})
};
});
x.domain(d3.extent(data, function (d) {
return d.date;
}));
y.domain([
d3.min(cities, function (c) {
return d3.min(c.values, function (d) {
return d.temperature;
});
}),
d3.max(cities, function (c) {
return d3.max(c.values, function (d) {
return d.temperature;
});
})
]);
z.domain(cities.map(function (c) {
return c.id;
}));
var city = g.selectAll(".city")
.data(cities);
city.exit().remove();
var cityEnter = city.enter().append("g")
.attr("class", "city");
cityEnter.append("path")
.attr("class", "line")
.attr("d", function (d) {
return line(d.values);
})
.style("stroke", function (d) {
return z(d.id);
});
cityEnter.append("text")
.datum(function (d) {
return {
id: d.id,
value: d.values[d.values.length - 1]
};
})
.attr("transform", function (d) {
return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")";
})
.attr("x", 3)
.attr("dy", "0.35em")
.style("font", "10px sans-serif")
.text(function (d) {
return d.id;
});
city = cityEnter.merge(city);
city.select("path").attr("d", function (d) {
return line(d.values);
});
svg.select(".axis--y").call(d3.axisLeft(y))
}
// });
function type(d, _, columns) {
d.date = parseTime(d.date);
for (var i = 1, n = columns.length, c; i < n; ++i) d[c = columns[i]] = +d[c];
return d;
}
</script>
UPDATE3：
试试对于标签（纽约与纽约） - 还没有工作......
UPDATE3: Try for the label (Old York vs. New York) - not working yet...
<script src="https://d3js.org/d3.v4.min.js"></script>
<style>
.axis--x path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
</style>
<button>Click me</button>
<svg width="960" height="500"></svg>
<!--<script src="d3.v4.js"></script>-->
<script>
var svg = d3.select("svg"),
margin = {
top: 20,
right: 80,
bottom: 30,
left: 50
},
width = svg.attr("width") - margin.left - margin.right,
height = svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var parseTime = d3.timeParse("%Y%m%d");
var x = d3.scaleTime().range([0, width]),
y = d3.scaleLinear().range([height, 0]),
z = d3.scaleOrdinal(d3.schemeCategory10);
var line = d3.line()
.curve(d3.curveBasis)
.x(function (d) {
return x(d.date);
})
.y(function (d) {
return y(d.temperature);
});
var data = [{
"date": "1136156400000",
"Old York": 63.4,
"San Francisco": 62.7,
"Austin": 72.2
}, {
"date": "1167692400000",
"Old York": 58.0,
"San Francisco": 59.9,
"Austin": 67.7
}, {
"date": "1199228400000",
"Old York": 53.3,
"San Francisco": 59.1,
"Austin": 69.4
}, {
"date": "1230850800000",
"Old York": 55.7,
"San Francisco": 58.8,
"Austin": 68.0
}, {
"date": "1262386800000",
"Old York": 62.3,
"San Francisco": 55.1,
"Austin": 71.9
}];
var data2 = [{
"date": "1136156400000",
"New York": 263.4,
"San Francisco": 262.7,
"Austin": 372.2
}, {
"date": "1167692400000",
"New York": 458.0,
"San Francisco": 259.9,
"Austin": -367.7
}, {
"date": "1199228400000",
"New York": 153.3,
"San Francisco": 259.1,
"Austin": 369.4
}, {
"date": "1230850800000",
"New York": 155.7,
"San Francisco": 258.8,
"Austin": 368.0
}, {
"date": "1262386800000",
"New York": 162.3,
"San Francisco": 255.1,
"Austin": 371.9
}];
// d3.tsv("data.tsv", type, function (error, data) {
// if (error) throw error;
data.columns = ["date", "Old York", "San Francisco", "Austin"];
var cities = data.columns.slice(1).map(function (id) {
return {
id: id,
values: data.map(function (d) {
return {
date: d.date,
temperature: d[id]
};
})
};
});
x.domain(d3.extent(data, function (d) {
return d.date;
}));
y.domain([
d3.min(cities, function (c) {
return d3.min(c.values, function (d) {
return d.temperature;
});
}),
d3.max(cities, function (c) {
return d3.max(c.values, function (d) {
return d.temperature;
});
})
]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("fill", "#000")
.text("Temperature, ºF");
update();
d3.select("button").on("click", function () {
// cities.splice(0, 1);
data = data2;
data.columns = ["date", "New York", "San Francisco", "Austin"];
// console.log(JSON.stringify(cities));
update();
});
function update() {
// data.columns = ["date", "New York", "San Francisco", "Austin"];
cities = data.columns.slice(1).map(function (id) {
return {
id: id,
values: data.map(function (d) {
return {
date: d.date,
temperature: d[id]
};
})
};
});
x.domain(d3.extent(data, function (d) {
return d.date;
}));
y.domain([
d3.min(cities, function (c) {
return d3.min(c.values, function (d) {
return d.temperature;
});
}),
d3.max(cities, function (c) {
return d3.max(c.values, function (d) {
return d.temperature;
});
})
]);
z.domain(cities.map(function (c) {
return c.id;
}));
var city = g.selectAll(".city")
.data(cities);
city.append("text")
.datum(function (d) {
return {
id: d.id,
value: d.values[d.values.length - 1]
};
})
.attr("transform", function (d) {
return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")";
})
.attr("x", 3)
.attr("dy", "0.35em")
.style("font", "10px sans-serif")
.text(function (d) {
return d.id;
});
// var text = g.selectAll(".text")
// .data(texts);
city.exit().remove();
var cityEnter = city.enter().append("g")
.attr("class", "city");
cityEnter.append("path")
.attr("class", "line")
.attr("d", function (d) {
return line(d.values);
})
.style("stroke", function (d) {
return z(d.id);
});
city = cityEnter.merge(city);
cityEnter.append("text")
// city.append("text")
.datum(function (d) {
return {
id: d.id,
value: d.values[d.values.length - 1]
};
})
.attr("transform", function (d) {
return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")";
})
.attr("x", 3)
.attr("dy", "0.35em")
.style("font", "10px sans-serif")
.text(function (d) {
return d.id;
});
city.select("path")
// .transition().duration(1000)
.attr("d", function (d) {
return line(d.values);
});
city.select("text").datum(function (d) {
return {
id: d.id,
value: d.values[d.values.length - 1]
};
})
// .transition().duration(1000)
.attr("transform", function (d) {
return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")";
});
svg.select(".axis--y")
// .transition().duration(1000)
.call(d3.axisLeft(y));
}
</script>
推荐答案
现在你只是在Bostock的代码结束：
Right now you're just adding this line at the end of Bostock's code:
city.exit().remove();
然而，这不起作用，因为他的代码只有一个输入选择。
However, this will not work because his code has just one "enter" selection.
解决方案是创建数据绑定选择和分离的输入选择。这样，您将有一个工作退出选择：
The solution is creating a data-binding selection and a separated "enter" selection. That way, you'll have a working "exit" selection:
var city = g.selectAll(".city")
.data(cities);
city.exit().remove();
var cityEnter = city.enter().append("g")
.attr("class", "city");
cityEnter.append("path")
//etc...
cityEnter.append("text")
//etc..
每次单击顶部的按钮时，这是一个带有该更改的演示bl.ocks它删除了数据数组中的第一个对象，并且退出选择删除了该行：
Here is a demo bl.ocks with that change, every time you click the button at the top it removes the first object in the data array, and the exit selection removes the line:
https://bl.ocks.org/anonymous/98204ee0226e2f6178154b7903f9ef99
编辑：在您的原始问题中，您只询问退出选择。由于您实际上询问更新选择，这是一个新的演示，更新行，文本和轴：
EDIT: In your original question you only asked about the exit selection. Since you are actually asking about the update selection, here is a new demo, updating the lines, the texts and the axis:
<script src="https://d3js.org/d3.v4.min.js"></script>
<style>
.axis--x path {
display: none;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
</style>
<button>Click me</button>
<svg width="960" height="500"></svg>
<!--<script src="//d3js.org/d3.v4.min.js"></script>-->
<script src="d3.v4.js"></script>
<!--<script src="v03-exit-funktioniert-3-evolution.js"></script>-->
<script>
var svg = d3.select("svg"),
margin = {
top: 20,
right: 80,
bottom: 30,
left: 50
},
width = svg.attr("width") - margin.left - margin.right,
height = svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var parseTime = d3.timeParse("%Y%m%d");
var x = d3.scaleTime().range([0, width]),
y = d3.scaleLinear().range([height, 0]),
z = d3.scaleOrdinal(d3.schemeCategory10);
var line = d3.line()
.curve(d3.curveBasis)
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.temperature);
});
var data = [{
"date": "1136156400000",
"New York": 63.4,
"San Francisco": 62.7,
"Austin": 72.2
}, {
"date": "1167692400000",
"New York": 58.0,
"San Francisco": 59.9,
"Austin": 67.7
}, {
"date": "1199228400000",
"New York": 53.3,
"San Francisco": 59.1,
"Austin": 69.4
}, {
"date": "1230850800000",
"New York": 55.7,
"San Francisco": 58.8,
"Austin": 68.0
}, {
"date": "1262386800000",
"New York": 62.3,
"San Francisco": 55.1,
"Austin": 71.9
}];
var data2 = [{
"date": "1136156400000",
"New York": 163.4,
"San Francisco": 262.7,
"Austin": 372.2
}, {
"date": "1167692400000",
"New York": 158.0,
"San Francisco": 259.9,
"Austin": 367.7
}, {
"date": "1199228400000",
"New York": 153.3,
"San Francisco": 259.1,
"Austin": 369.4
}, {
"date": "1230850800000",
"New York": 155.7,
"San Francisco": 258.8,
"Austin": 368.0
}, {
"date": "1262386800000",
"New York": 162.3,
"San Francisco": 255.1,
"Austin": 371.9
}];
// d3.tsv("data.tsv", type, function (error, data) {
// if (error) throw error;
data.columns = ["date", "New York", "San Francisco", "Austin"];
var cities = data.columns.slice(1).map(function(id) {
return {
id: id,
values: data.map(function(d) {
return {
date: d.date,
temperature: d[id]
};
})
};
});
x.domain(d3.extent(data, function(d) {
return d.date;
}));
y.domain([
d3.min(cities, function(c) {
return d3.min(c.values, function(d) {
return d.temperature;
});
}),
d3.max(cities, function(c) {
return d3.max(c.values, function(d) {
return d.temperature;
});
})
]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("fill", "#000")
.text("Temperature, ºF");
update();
d3.select("button").on("click", function() {
// cities.splice(0, 1);
data = data2;
// console.log(JSON.stringify(cities));
update();
});
function update() {
data.columns = ["date", "New York", "San Francisco", "Austin"];
cities = data.columns.slice(1).map(function(id) {
return {
id: id,
values: data.map(function(d) {
return {
date: d.date,
temperature: d[id]
};
})
};
});
x.domain(d3.extent(data, function(d) {
return d.date;
}));
y.domain([
d3.min(cities, function(c) {
return d3.min(c.values, function(d) {
return d.temperature;
});
}),
d3.max(cities, function(c) {
return d3.max(c.values, function(d) {
return d.temperature;
});
})
]);
z.domain(cities.map(function(c) {
return c.id;
}));
var city = g.selectAll(".city")
.data(cities);
city.exit().remove();
var cityEnter = city.enter().append("g")
.attr("class", "city");
cityEnter.append("path")
.attr("class", "line")
.attr("d", function(d) {
return line(d.values);
})
.style("stroke", function(d) {
return z(d.id);
});
cityEnter.append("text")
.datum(function(d) {
return {
id: d.id,
value: d.values[d.values.length - 1]
};
})
.attr("transform", function(d) {
return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")";
})
.attr("x", 3)
.attr("dy", "0.35em")
.style("font", "10px sans-serif")
.text(function(d) {
return d.id;
});
city = cityEnter.merge(city);
city.select("path").transition().duration(1000).attr("d", function(d) {
return line(d.values);
});
city.select("text").datum(function(d) {
return {
id: d.id,
value: d.values[d.values.length - 1]
};
}).transition().duration(1000)
.attr("transform", function(d) {
return "translate(" + x(d.value.date) + "," + y(d.value.temperature) + ")";
})
svg.select(".axis--y").transition().duration(1000).call(d3.axisLeft(y))
}
// });
function type(d, _, columns) {
d.date = parseTime(d.date);
for (var i = 1, n = columns.length, c; i < n; ++i) d[c = columns[i]] = +d[c];
return d;
}
</script>这篇关于D3：如何对多系列折线图使用exit（）。remove（）的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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