echarts画图学习
配置项文档:https://echarts.apache.org/zh/option.html#title
1. 柱形图【bar】
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>柱形图入门</title>
<!-- 1. 引入 echarts.js 文件-->
<script src="lib/echarts.js"></script>
</head>
<body>
<!-- 2. 准备一个呈现图表的盒子 div -->
<div style="width: 600px;height: 400px"></div>
<script>
// 3. 初始化 echarts 实例对象
// 参数,dom,决定图表最终呈现的位置
var mCharts = echarts.init(document.querySelector('div'));
<!-- 4. 准备配置项 -->
var option = {
xAxis: {
type: 'category',
data: ['小明', '小红', '小王']
},
yAxis: {
type: 'value'
},
series: [
{
name: '语文',
type: 'bar', // line:折线图
data:[70, 92, 87],
itemStyle:{
color: 'red'
}
}
]
}
<!-- 5. 将配置项设置给 echarts 实例对象 -->
mCharts.setOption(option)
</script>
</body>
</html>
注意: 坐标轴xAxis 或 者yAxis 中的配置, type 的值主要有两种: category 和 value
- 如果type属性的值为category ,那么需要配置data 数据, 代表在x 轴的呈现.
- 如果type 属性配置为value , 那么无需配置data , 此时 y 轴会自动去series 下找数据进行图表的绘制
1.1 柱形图常见效果
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>柱形图入门</title>
<!-- 1. 引入 echarts.js 文件-->
<script src="lib/echarts.js"></script>
</head>
<body>
<!-- 2. 准备一个呈现图表的盒子 div -->
<div style="width: 600px;height: 400px"></div>
<script>
// 3. 初始化 echarts 实例对象
// 参数,dom,决定图表最终呈现的位置
var mCharts = echarts.init(document.querySelector('div'));
// 准备数据
var xDataArr = ['张三', '李四', '王五', '闰土', '小明', '茅台', '二妞', '大强']
var yDataArr = [88, 92, 63, 77, 94, 80, 72, 86]
<!-- 4. 准备配置项 -->
var option = {
xAxis: {
type: 'category',
data: xDataArr
},
yAxis: {
type: 'value'
},
series: [
{
name: '语文',
type: 'bar', // line:折线图
data: yDataArr,
itemStyle:{
color: 'red'
},
markPoint:{ // 极值
data:[
{
type: 'max', name: '最大值'
},
{
type: "min", name: '最小值'
}
]
},
markLine:{ // 平均值
data:[
{
type: 'average', name: '平均值'
}
]
},
label:{
show: true, // 是否可见
rotate: 60 // 是否旋转
},
barWidth: '30%' // 柱宽度
}
]
}
<!-- 5. 将配置项设置给 echarts 实例对象 -->
mCharts.setOption(option)
</script>
</body>
</html>
1.2 横向柱形图
xAxis: {
type: 'value',
},
yAxis: {
type: 'category',
data: xDataArr
},
将xAxis 和 yAxis 中的信息交换即可
1.3 通用配置
title【标题】
title: {
text: "成绩", // 标题文字
textStyle: {
color: 'red' // 文字颜色
},
borderWidth: 5, // 标题边框
borderColor: 'green', // 标题边框颜色
borderRadius: 5, // 标题边框圆角
left: 20, // 标题的位置
top: 20 // 标题的位置
}
tooltip【提示框 => 鼠标滑过或者点击】
tooltip 指的是当鼠标移入到图表或者点击图表时, 展示出的提示框
- 触发类型: trigger
可选值有item\axis
- 触发时机: triggerOn
可选值有 mousemove\click
- 格式化显示: formatter
模板:
var option = {
tooltip: {
trigger: 'item',
triggerOn: 'click',
formatter: '{b}:{c}' <!-- 这个{b} 和 {c} 所代表的含义不需要去记, 在官方文档中有详细的描述 -->
}
}
模板解释:
模板变量有:{a}、{b}、{c}、{d}、{e} 分别表示:系列名,数据名、数据值等
当 trigger 为 'axis' 时,会有多个系列的数据,此时可以通过 {a0}、{a1}、{a2} 这种后面加索引的方式表示系列的索引
不同图表类型下的 {a}、{b}、{c}、{d} 含义不一样,其中 {a}、{b}、{c}、{d} 在不同图表类型下代表数据含义为:
- 折线(区域)图,柱状(条形)图,K线图:{a}(系列名称)、{b}(类目值)、{c}(数值)、{d}(无)
- 散点图(气泡)图:{a}(系列名称)、{b}(数据名称)、{c}(数值数值)、{d}(无)
- 地图:{a}(系列名称)、{b}(区域名称)、{c}(合并数值)、{d}(无)
- 饼图、仪表盘、漏斗图:{a}(系列名称)、{b}(数据项名称)、{c}(数值)、{d}(百分比)
回调函数
tooltip: {
// trigger: 'item' :鼠标移动到柱体
trigger: 'axis', // 鼠标移到柱体内坐标轴
triggerOn: 'click', // 默认是 mousemove
// formatter: '{b} 的成绩是 {c}'
formatter: function (arg) { // 回调函数
console.log(arg);
return arg[0].name + ' 的分数是 ' + arg[0].data;
}
}
toolbox【工具框】
toolbox 是ECharts 提供的工具栏, 内置有 导出图片,数据视图, 重置, 数据区域缩放, 动态类型切换五个工具
工具栏的按钮是配置在feature 的节点之下
toolbox: {
feature:{
saveAsImage:{}, // 导出图片
dataView: {}, // 数据视图
restore: {}, // 重置
dataZoom: {}, // 区域缩放
magicType: { // 动态图标类型切换
type:[ // 数组
'bar',
'line'
]
}
}
}
legend【筛选类别】
legend 是图例,用于筛选类别,需要和series 配合使用
- legend 中的data 是一个数组
- legend 中的 data 的值需要和series 数组中某组数据的name 值一致
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>柱形图入门</title>
<!-- 1. 引入 echarts.js 文件-->
<script src="lib/echarts.js"></script>
</head>
<body>
<!-- 2. 准备一个呈现图表的盒子 div -->
<div style="width: 600px;height: 400px"></div>
<script>
// 3. 初始化 echarts 实例对象
// 参数,dom,决定图表最终呈现的位置
var mCharts = echarts.init(document.querySelector('div'));
// 准备数据
var xDataArr = ['张三', '李四', '王五', '闰土', '小明', '茅台', '二妞', '大强']
var yDataArr1 = [88, 92, 63, 77, 94, 80, 72, 86]
var yDataArr2 = [93, 60, 61, 62, 85, 79, 92, 30]
<!-- 4. 准备配置项 -->
var option = {
title: {
text: "成绩", // 标题文字
textStyle: {
color: 'red' // 文字颜色
},
borderWidth: 5, // 标题边框
borderColor: 'blue', // 标题边框颜色
borderRadius: 5, // 标题边框圆角
left: 20, // 标题的位置
top: 20 // 标题的位置
},
tooltip: {
// trigger: 'item' :鼠标移动到柱体
trigger: 'axis', // 鼠标移到柱体内坐标轴
triggerOn: 'click', // 默认是 mousemove
// formatter: '{b} 的成绩是 {c}'
formatter: function (arg) { // 回调函数
console.log(arg);
return arg[0].name + ' 的分数是 ' + arg[0].data;
}
},
legend: {
data: ['语文', '数学'] // 系列筛选 【和 series中的 name 保持一致】
},
xAxis: {
type: 'category',
data: xDataArr
},
yAxis: {
type: 'value',
},
series: [
{
name: '语文',
type: 'bar', // line:折线图
data: yDataArr1,
itemStyle:{
color: 'red'
},
markPoint:{ // 极值
data:[
{
type: 'max', name: '最大值'
},
{
type: "min", name: '最小值'
}
]
},
markLine:{ // 平均值
data:[
{
type: 'average', name: '平均值'
}
]
},
label:{
show: true, // 是否可见
rotate: 60 // 是否旋转
},
barWidth: '30%' // 柱宽度
},
{
name: '数学',
type: 'bar', // line:折线图
data: yDataArr2,
itemStyle:{
color: 'blue'
},
markPoint:{ // 极值
data:[
{
type: 'max', name: '最大值'
},
{
type: "min", name: '最小值'
}
]
},
markLine:{ // 平均值
data:[
{
type: 'average', name: '平均值'
}
]
},
label:{
show: true, // 是否可见
rotate: 60 // 是否旋转
},
barWidth: '30%' // 柱宽度
}
]
}
<!-- 5. 将配置项设置给 echarts 实例对象 -->
mCharts.setOption(option)
</script>
</body>
</html>
总结:
通用配置指的是:任何一种类型的图表都可以使用的配置
2. 折线图【line】
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>折线图入门</title>
<script src="lib/echarts.js"></script>
</head>
<body>
<div style="width: 600px;height:400px"></div>
<script>
var xDataArr = ['1月', '2月', '3月', '4月', '5月', '6月', '7月', '8月', '9月',
'10月', '11月', '12月']
var yDataArr = [3000, 2800, 900, 1000, 800, 700, 1400, 1300, 900, 1000, 800,
600]
var mCharts = echarts.init(document.querySelector("div"))
var option = {
xAxis: {
type: 'category',
data: xDataArr,
boundaryGap: false // 紧挨边缘
},
yAxis: {
type: 'value',
scale: true // 摆脱 0 值比例
},
series: [
{
type: 'line',
data: yDataArr,
itemStyle:{
color: 'red'
},
smooth: true, // 线条平滑控制
lineStyle: { // 线条样式
color: 'green',
type: 'dashed' // 可选值还有 dotted solid
},
areaStyle: { // 填充风格
color: 'green'
},
markPoint:{ // 极值
data:[
{
type: 'max', name: '最大值'
},
{
type: "min", name: '最小值'
}
]
},
markLine:{ // 平均值
data:[
{
type: 'average', name: '平均值'
}
]
},
markArea: { // 标注区间
data: [
[
{
xAxis: '1月'
}, {
xAxis: '2月'
}
],
[
{
xAxis: '7月'
}, {
xAxis: '8月'
}
]
]
}
}
]
}
mCharts.setOption(option)
</script>
</body>
</html>
2.1 堆叠图【areaStyle: {}】
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>折线图入门</title>
<script src="lib/echarts.js"></script>
</head>
<body>
<div style="width: 600px;height:400px"></div>
<script>
var xDataArr = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']
var yDataArr1 = [120, 132, 101, 134, 90, 230, 210]
var yDataArr2 = [20, 82, 191, 94, 290, 330, 310]
var mCharts = echarts.init(document.querySelector("div"))
var option = {
xAxis: {
type: 'category',
data: xDataArr,
boundaryGap: false
},
yAxis: {
type: 'value',
scale: true
},
series: [
{
type: 'line',
data: yDataArr1,
lineStyle: { // 线条样式
color: 'red',
type: 'dashed' // 可选值还有 dotted solid
},
stack: 'all' // series中的每一个对象配置相同的stack值, 这个all可以任意写
},
{
type: 'line',
data: yDataArr2,
lineStyle: { // 线条样式
color: 'blue',
type: 'dashed' // 可选值还有 dotted solid
},
stack: 'all' // series中的每一个对象配置相同的stack值, 这个all可以任意写
}
]
}
mCharts.setOption(option)
</script>
</body>
</html>
蓝色这条线的y轴起点, 不再是y轴, 而是红色这条线对应的点. 所以相当于蓝色是在红色这条线的基础之上进行绘制. 基于前一个图表进行堆叠
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>折线图入门</title>
<script src="lib/echarts.js"></script>
</head>
<body>
<div style="width: 600px;height:400px"></div>
<script>
var xDataArr = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']
var yDataArr1 = [120, 132, 101, 134, 90, 230, 210]
var yDataArr2 = [20, 82, 191, 94, 290, 330, 310]
var mCharts = echarts.init(document.querySelector("div"))
var option = {
xAxis: {
type: 'category',
data: xDataArr,
boundaryGap: false
},
yAxis: {
type: 'value',
scale: true
},
series: [
{
type: 'line',
data: yDataArr1,
lineStyle: { // 线条样式
color: 'red',
type: 'dashed' // 可选值还有 dotted solid
},
stack: 'all',// series中的每一个对象配置相同的stack值, 这个all可以任意写,
areaStyle: {}
},
{
type: 'line',
data: yDataArr2,
lineStyle: { // 线条样式
color: 'blue',
type: 'dashed' // 可选值还有 dotted solid
},
stack: 'all', // series中的每一个对象配置相同的stack值, 这个all可以任意写
areaStyle: {}
}
]
}
mCharts.setOption(option)
</script>
</body>
</html>
2.2 特点
折线图更多的使用来呈现数据随时间的『变化趋势』
3. 散点图【scatter】
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>散点图</title>
<script src="lib/echarts.js"></script>
</head>
<body>
<div style="width: 600px;height:400px"></div>
<script>
// 1. x轴和y轴数据 二维数组 [ [身高,体重],... ]
// 2. 将 series 的 type 值设置为 scatter, x轴和y轴的type都是value
var data = [{ "gender": "female", "height": 161.2, "weight": 51.6 }, { "gender": "female", "height": 167.5, "weight": 59 }, { "gender": "female", "height": 159.5, "weight": 49.2 }, { "gender": "female", "height": 157, "weight": 63 }, { "gender": "female", "height": 155.8, "weight": 53.6 }, { "gender": "female", "height": 170, "weight": 59 }, { "gender": "female", "height": 159.1, "weight": 47.6 }, { "gender": "female", "height": 166, "weight": 69.8 }, { "gender": "female", "height": 176.2, "weight": 66.8 }, { "gender": "female", "height": 160.2, "weight": 75.2 }, { "gender": "female", "height": 172.5, "weight": 55.2 }, { "gender": "female", "height": 170.9, "weight": 54.2 }, { "gender": "female", "height": 172.9, "weight": 62.5 }, { "gender": "female", "height": 153.4, "weight": 42 }, { "gender": "female", "height": 160, "weight": 50 }, { "gender": "female", "height": 147.2, "weight": 49.8 }, { "gender": "female", "height": 168.2, "weight": 49.2 }, { "gender": "female", "height": 175, "weight": 73.2 }, { "gender": "female", "height": 157, "weight": 47.8 }, { "gender": "female", "height": 167.6, "weight": 68.8 }, { "gender": "female", "height": 159.5, "weight": 50.6 }, { "gender": "female", "height": 175, "weight": 82.5 }, { "gender": "female", "height": 166.8, "weight": 57.2 }, { "gender": "female", "height": 176.5, "weight": 87.8 }, { "gender": "female", "height": 170.2, "weight": 72.8 }, { "gender": "female", "height": 174, "weight": 54.5 }, { "gender": "female", "height": 173, "weight": 59.8 }, { "gender": "female", "height": 179.9, "weight": 67.3 }, { "gender": "female", "height": 170.5, "weight": 67.8 }, { "gender": "female", "height": 160, "weight": 47 }, { "gender": "female", "height": 154.4, "weight": 46.2 }, { "gender": "female", "height": 162, "weight": 55 }, { "gender": "female", "height": 176.5, "weight": 83 }, { "gender": "female", "height": 160, "weight": 54.4 }, { "gender": "female", "height": 152, "weight": 45.8 }, { "gender": "female", "height": 162.1, "weight": 53.6 }, { "gender": "female", "height": 170, "weight": 73.2 }, { "gender": "female", "height": 160.2, "weight": 52.1 }, { "gender": "female", "height": 161.3, "weight": 67.9 }, { "gender": "female", "height": 166.4, "weight": 56.6 }, { "gender": "female", "height": 168.9, "weight": 62.3 }, { "gender": "female", "height": 163.8, "weight": 58.5 }, { "gender": "female", "height": 167.6, "weight": 54.5 }, { "gender": "female", "height": 160, "weight": 50.2 }, { "gender": "female", "height": 161.3, "weight": 60.3 }, { "gender": "female", "height": 167.6, "weight": 58.3 }, { "gender": "female", "height": 165.1, "weight": 56.2 }, { "gender": "female", "height": 160, "weight": 50.2 }, { "gender": "female", "height": 170, "weight": 72.9 }, { "gender": "female", "height": 157.5, "weight": 59.8 }, { "gender": "female", "height": 167.6, "weight": 61 }, { "gender": "female", "height": 160.7, "weight": 69.1 }, { "gender": "female", "height": 163.2, "weight": 55.9 }, { "gender": "female", "height": 152.4, "weight": 46.5 }, { "gender": "female", "height": 157.5, "weight": 54.3 }, { "gender": "female", "height": 168.3, "weight": 54.8 }, { "gender": "female", "height": 180.3, "weight": 60.7 }, { "gender": "female", "height": 165.5, "weight": 60 }, { "gender": "female", "height": 165, "weight": 62 }, { "gender": "female", "height": 164.5, "weight": 60.3 }, { "gender": "female", "height": 156, "weight": 52.7 }, { "gender": "female", "height": 160, "weight": 74.3 }, { "gender": "female", "height": 163, "weight": 62 }, { "gender": "female", "height": 165.7, "weight": 73.1 }, { "gender": "female", "height": 161, "weight": 80 }, { "gender": "female", "height": 162, "weight": 54.7 }, { "gender": "female", "height": 166, "weight": 53.2 }, { "gender": "female", "height": 174, "weight": 75.7 }, { "gender": "female", "height": 172.7, "weight": 61.1 }, { "gender": "female", "height": 167.6, "weight": 55.7 }, { "gender": "female", "height": 151.1, "weight": 48.7 }, { "gender": "female", "height": 164.5, "weight": 52.3 }, { "gender": "female", "height": 163.5, "weight": 50 }, { "gender": "female", "height": 152, "weight": 59.3 }, { "gender": "female", "height": 169, "weight": 62.5 }, { "gender": "female", "height": 164, "weight": 55.7 }, { "gender": "female", "height": 161.2, "weight": 54.8 }, { "gender": "female", "height": 155, "weight": 45.9 }, { "gender": "female", "height": 170, "weight": 70.6 }, { "gender": "female", "height": 176.2, "weight": 67.2 }, { "gender": "female", "height": 170, "weight": 69.4 }, { "gender": "female", "height": 162.5, "weight": 58.2 }, { "gender": "female", "height": 170.3, "weight": 64.8 }, { "gender": "female", "height": 164.1, "weight": 71.6 }, { "gender": "female", "height": 169.5, "weight": 52.8 }, { "gender": "female", "height": 163.2, "weight": 59.8 }, { "gender": "female", "height": 154.5, "weight": 49 }, { "gender": "female", "height": 159.8, "weight": 50 }, { "gender": "female", "height": 173.2, "weight": 69.2 }, { "gender": "female", "height": 170, "weight": 55.9 }, { "gender": "female", "height": 161.4, "weight": 63.4 }, { "gender": "female", "height": 169, "weight": 58.2 }, { "gender": "female", "height": 166.2, "weight": 58.6 }, { "gender": "female", "height": 159.4, "weight": 45.7 }, { "gender": "female", "height": 162.5, "weight": 52.2 }, { "gender": "female", "height": 159, "weight": 48.6 }, { "gender": "female", "height": 162.8, "weight": 57.8 }, { "gender": "female", "height": 159, "weight": 55.6 }, { "gender": "female", "height": 179.8, "weight": 66.8 }, { "gender": "female", "height": 162.9, "weight": 59.4 }, { "gender": "female", "height": 161, "weight": 53.6 }, { "gender": "female", "height": 151.1, "weight": 73.2 }, { "gender": "female", "height": 168.2, "weight": 53.4 }, { "gender": "female", "height": 168.9, "weight": 69 }, { "gender": "female", "height": 173.2, "weight": 58.4 }, { "gender": "female", "height": 171.8, "weight": 56.2 }, { "gender": "female", "height": 178, "weight": 70.6 }, { "gender": "female", "height": 164.3, "weight": 59.8 }, { "gender": "female", "height": 163, "weight": 72 }, { "gender": "female", "height": 168.5, "weight": 65.2 }, { "gender": "female", "height": 166.8, "weight": 56.6 }, { "gender": "female", "height": 172.7, "weight": 105.2 }, { "gender": "female", "height": 163.5, "weight": 51.8 }, { "gender": "female", "height": 169.4, "weight": 63.4 }, { "gender": "female", "height": 167.8, "weight": 59 }, { "gender": "female", "height": 159.5, "weight": 47.6 }, { "gender": "female", "height": 167.6, "weight": 63 }, { "gender": "female", "height": 161.2, "weight": 55.2 }, { "gender": "female", "height": 160, "weight": 45 }, { "gender": "female", "height": 163.2, "weight": 54 }, { "gender": "female", "height": 162.2, "weight": 50.2 }, { "gender": "female", "height": 161.3, "weight": 60.2 }, { "gender": "female", "height": 149.5, "weight": 44.8 }, { "gender": "female", "height": 157.5, "weight": 58.8 }, { "gender": "female", 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}, { "gender": "male", "height": 167.6, "weight": 64.5 }, { "gender": "male", "height": 170.2, "weight": 77.3 }, { "gender": "male", "height": 167.6, "weight": 72.3 }, { "gender": "male", "height": 188, "weight": 87.3 }, { "gender": "male", "height": 174, "weight": 80 }, { "gender": "male", "height": 176.5, "weight": 82.3 }, { "gender": "male", "height": 180.3, "weight": 73.6 }, { "gender": "male", "height": 167.6, "weight": 74.1 }, { "gender": "male", "height": 188, "weight": 85.9 }, { "gender": "male", "height": 180.3, "weight": 73.2 }, { "gender": "male", "height": 167.6, "weight": 76.3 }, { "gender": "male", "height": 183, "weight": 65.9 }, { "gender": "male", "height": 183, "weight": 90.9 }, { "gender": "male", "height": 179.1, "weight": 89.1 }, { "gender": "male", "height": 170.2, "weight": 62.3 }, { "gender": "male", "height": 177.8, "weight": 82.7 }, { "gender": "male", "height": 179.1, "weight": 79.1 }, { "gender": "male", "height": 190.5, "weight": 98.2 }, { "gender": "male", "height": 177.8, "weight": 84.1 }, { "gender": "male", "height": 180.3, "weight": 83.2 }, { "gender": "male", "height": 180.3, "weight": 83.2 }]
var axisData = []
for( var i=0;i<data.length;i++) {
var height = data[i].height
var weight = data[i].weight
var newArr = [height, weight]
axisData.push(newArr)
}
var mCharts = echarts.init(document.querySelector("div"))
var option = {
xAxis: {
type: 'value',
scale: true // 脱离 0 值比例
},
yAxis: {
type: 'value',
scale: true
},
series: [
{ type: 'scatter', // 指明图表的类型为散点图
data: axisData
}
]
}
mCharts.setOption(option)
</script>
</body>
</html>
3.1 大小、颜色
series: [
{ type: 'scatter', // 指明图表的类型为散点图
data: axisData,
symbolSize: 10,
itemStyle: {
color: 'green',
}
}
]
3.2 回调函数
series: [
{
type: 'scatter',
data: axisData,
symbolSize: function (arg) {
var weight = arg[1]
var height = arg[0] / 100
// BMI > 28 则代表肥胖, 肥胖的人用大的散点标识, 正常的人用小散点标识
// BMI: 体重/ 身高*身高 kg m
var bmi = weight / (height * height)
if (bmi > 28) {
return 20
}
return 5
},
itemStyle: {
color: function (arg) {
var weight = arg.data[1]
var height = arg.data[0] / 100
var bmi = weight / (height * height)
if (bmi > 28) {
return 'red'
}
return 'green'
}
}
}
]
3.3 涟漪动画效果
type: 'effectScatter',
rippleEffect:{ 配置涟漪动画的大小
scale:3
},
showEffectOn: 'emphasis', // 可以控制涟漪动画在什么时候产生, 它的可选值有两个: render【界面渲染完成就开始涟漪动画】和 emphasis【鼠标移过某个散点的时候, 该散点开始涟漪动画】
散点图也经常结合地图来进行地图区域的标注, 这个效果将在讲解地图时实现
3.4 直角坐标系的常见配置
直角坐标系的图表指的是带有x轴和y轴的图表, 常见的直角坐标系的图表有: 柱状图 折线图 散点图
针对于直角坐标系的图表, 有一些通用的配置
- 网格 grid
- 显示grid
show: true - grid 的边框
borderWidth : 10 - grid 的位置和大小
left top right bottom
width height
var option = {
grid: {
show: true, // 显示grid
borderWidth: 10, // grid的边框宽度
borderColor: 'red', // grid的边框颜色
left: 100, // grid的位置
top: 100,
width: 300, // grid的大小
height: 150
}
}
- 坐标轴 axis
坐标轴分为x轴和y轴, 一个grid 中最多有两种位置的x 轴和y 轴
- 坐标轴类型 type
value : 数值轴, 自动会从目标数据中读取数据
category : 类目轴, 该类型必须通过data 设置类目数据 - 坐标轴位置
xAxis : 可取值为 top 或者bottom
yAxis : 可取值为left 或者right
var option = {
xAxis: {
type: 'category',
data: xDataArr,
position: 'top'
},
yAxis: {
type: 'value',
position: 'right'
}
}
- 区域缩放 dataZoom
dataZoom 用于区域缩放, 对数据范围过滤, x轴和y轴都可以拥有, dataZoom 是一个数组, 意味着可以配置多个区域缩放器
- 区域缩放类型 type
slider : 滑块
inside : 内置, 依靠鼠标滚轮或者双指缩放 - 产生作用的轴
xAxisIndex :设置缩放组件控制的是哪个x 轴, 一般写0即可
yAxisIndex :设置缩放组件控制的是哪个y 轴, 一般写0即可 - 指明初始状态的缩放情况
start : 数据窗口范围的起始百分比
end : 数据窗口范围的结束百分比
var option = {
xAxis: {
type: 'category',
data: xDataArr
},
yAxis: {
type: 'value'
},
dataZoom: [
{
type: 'slider',
xAxisIndex: 0
},
{
type: 'slider',
yAxisIndex: 0,
start: 0,
end: 80
}
]
}