我在我的VueJS应用程序中合并了D3JS图表，并且在理解如何将D3组件连接到.vue文件中的div时遇到了麻烦。当我将D3图表附加到HTML正文时，它可以呈现精美的外观，但是我不希望它出现在每个视图中，仅是我已将其导入到的视图中以及仅显示在想要的div上。
我已经查看了有关在Vue中安装和计算D3组件的其他答案-所有这些似乎都过于复杂。
可能我不了解D3图表如何作为Vue组件工作。我正在尝试使其尽可能简单。这是我的Home.vue视图/
<template>
<div id="chart">
</div>
</template>
<script>
import MainChart from "@/components/MainChart.vue";
export default {
name: 'chart',
components: {
MainChart
}
}
</script>
然后是我在组件中的MainChart组件/
<template>
<div id="chart">
</div>
</div>
</template>
<script>
import * as d3 from "d3";
export default {
name: "MainChart",
};
// 2. Use the margin convention practice
var margin = {top: 50, right: 50, bottom: 50, left: 50}
, width = window.innerWidth - margin.left - margin.right // Use the window's width
, height = window.innerHeight - margin.top - margin.bottom; // Use the window's height
// The number of datapoints
var n = 30;
// 5. X scale will use the index of our data
var xScale = d3.scalePow()
.domain([0, n-1]) // input
.range([0, width]); // output
// 6. Y scale will use the randomly generate number
var yScale = d3.scalePow()
.domain([0, 1000]) // input
.range([height, 0]); // output
// 1. Add the SVG to the page and employ #2
var svg = d3.select("#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 + ")");
// 3. Call the x axis in a group tag
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(xScale)); // Create an axis component with d3.axisBottom
svg.append("text")
.attr("class", "x label")
.attr("text-anchor", "end")
.attr("x", width)
.attr("y", height - 6)
.text("Time");
// 4. Call the y axis in a group tag
svg.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(yScale)); // Create an axis component with d3.axisLeft
svg.append("text")
.attr("class", "y label")
.attr("text-anchor", "end")
.attr("y", 6)
.attr("dy", ".75em")
.attr("transform", "rotate(-90)")
.text("Views");
// 7. d3's line generator
var line = d3.line()
.x(function(d, i) { return xScale(i); }) // set the x values for the line generator
.y(function(d) { return yScale(d.y); }) // set the y values for the line generator
.curve(d3.curveMonotoneX) // apply smoothing to the line
// 8. An array of objects of length N. Each object has key -> value pair, the key being "y" and the value is a random number
// var dataset = d3.range(n).map(function(d) { return {"y": d3.randomUniform(1)() } })
var dataset = [],
n = 30,
a = 20,
b = 1.15;
for (var k = 0; k < n; k++) {
dataset.push({x: 1 * k, y: a * Math.pow(b, k)});
}
// 9. Append the path, bind the data, and call the line generator
svg.append("path")
.datum(dataset) // 10. Binds data to the line
.attr("class", "line") // Assign a class for styling
.attr("d", line) // 11. Calls the line generator
.attr("stroke-dasharray", 100 + " " + 100)
.attr("stroke-dashoffset", 1000)
.attr("fill", "none")
.transition()
.duration(10000)
.ease(d3.easeLinear)
.attr("stroke-dashoffset", 0);
// 12. Appends a circle for each datapoint
svg.selectAll(".dot")
.data(dataset)
.enter().append("circle") // Uses the enter().append() method
.attr("class", "dot") // Assign a class for styling
.attr("cx", function(d, i) { return xScale(i) })
.attr("cy", function(d) { return yScale(d.y) })
.attr("r", 5);
</script>
<style>
/* 13. Basic Styling with CSS */
/* Style the lines by removing the fill and applying a stroke */
.line {
fill: none;
stroke: #678C1A;
stroke-width: 3;
}
.axis text { display: none; }
/* Style the dots by assigning a fill and stroke */
.dot {
fill: #C7D941;
stroke: #fff;
}
</style>
因为当我将svg附加到“ body”时效果很好，所以一定是D3图表在加载到Home.vue中时找不到div的情况，对吧？
答案 0 :(得分：0)
从发布的示例中，我看到了一些语法错误。
Home.vue
<template>
<div id="home">
<MainChart></MainChart>
</div>
</template>
<script>
import MainChart from "@/components/MainChart.vue";
export default {
name: 'chart',
components: {
MainChart
}
}
</script>
MainChart.vue
<template>
<div id="chart"></div>
</template>
<script>
import * as d3 from "d3";
export default {
name: "MainChart",
};
// 2. Use the margin convention practice
var margin = {top: 50, right: 50, bottom: 50, left: 50}
, width = window.innerWidth - margin.left - margin.right // Use the window's width
, height = window.innerHeight - margin.top - margin.bottom; // Use the window's height
// The number of datapoints
var n = 30;
// 5. X scale will use the index of our data
var xScale = d3.scalePow()
.domain([0, n-1]) // input
.range([0, width]); // output
// 6. Y scale will use the randomly generate number
var yScale = d3.scalePow()
.domain([0, 1000]) // input
.range([height, 0]); // output
// 1. Add the SVG to the page and employ #2
var svg = d3.select("#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 + ")");
// 3. Call the x axis in a group tag
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(xScale)); // Create an axis component with d3.axisBottom
svg.append("text")
.attr("class", "x label")
.attr("text-anchor", "end")
.attr("x", width)
.attr("y", height - 6)
.text("Time");
// 4. Call the y axis in a group tag
svg.append("g")
.attr("class", "y axis")
.call(d3.axisLeft(yScale)); // Create an axis component with d3.axisLeft
svg.append("text")
.attr("class", "y label")
.attr("text-anchor", "end")
.attr("y", 6)
.attr("dy", ".75em")
.attr("transform", "rotate(-90)")
.text("Views");
// 7. d3's line generator
var line = d3.line()
.x(function(d, i) { return xScale(i); }) // set the x values for the line generator
.y(function(d) { return yScale(d.y); }) // set the y values for the line generator
.curve(d3.curveMonotoneX) // apply smoothing to the line
// 8. An array of objects of length N. Each object has key -> value pair, the key being "y" and the value is a random number
// var dataset = d3.range(n).map(function(d) { return {"y": d3.randomUniform(1)() } })
var dataset = [],
n = 30,
a = 20,
b = 1.15;
for (var k = 0; k < n; k++) {
dataset.push({x: 1 * k, y: a * Math.pow(b, k)});
}
// 9. Append the path, bind the data, and call the line generator
svg.append("path")
.datum(dataset) // 10. Binds data to the line
.attr("class", "line") // Assign a class for styling
.attr("d", line) // 11. Calls the line generator
.attr("stroke-dasharray", 100 + " " + 100)
.attr("stroke-dashoffset", 1000)
.attr("fill", "none")
.transition()
.duration(10000)
.ease(d3.easeLinear)
.attr("stroke-dashoffset", 0);
// 12. Appends a circle for each datapoint
svg.selectAll(".dot")
.data(dataset)
.enter().append("circle") // Uses the enter().append() method
.attr("class", "dot") // Assign a class for styling
.attr("cx", function(d, i) { return xScale(i) })
.attr("cy", function(d) { return yScale(d.y) })
.attr("r", 5);
</script>
<style>
.line {
fill: none;
stroke: #678C1A;
stroke-width: 3;
}
.axis text {
display: none;
}
.dot {
fill: #C7D941;
stroke: #fff;
}
</style>