起步
安装echarts依赖
由于前端基础框架中已经安装了 echarts ，直接引用即可。
npm install echarts -s
安装完 echarts 依赖之后可在 main.js 里面直接全局引用或者在需要使用到图表的模块单独引用。
// 在单独模块中引用
import echarts from 'echarts'
// 在 main.js 中全局引用
import echarts from 'echarts'
柱状图
<div id="histogram" style="width: 100%;height: 300px;display: inline-block;"></div>
import echarts from 'echarts' // 此处引入echarts
export default {
data() {
return {
histogram: {
dataX: ['星期一', '星期二', '星期三', '星期四', '星期五', '星期六', '星期日'],
dataY: [10, 52, 200, 334, 390, 330, 220]
}
}
},
mounted() {
this.histogramChartInit()
},
methods: {
histogramChartInit() { // 柱状图初始化
const _this = this
let myChart = echarts.init(document.getElementById('histogram'))
const option = {
color: ['#3398DB'],
tooltip: {
trigger: 'axis',
axisPointer: { // 坐标轴指示器，坐标轴触发有效
type: 'shadow' // 默认为直线，可选为：'line' | 'shadow'
}
},
grid: {
left: '3%',
right: '4%',
bottom: '3%',
containLabel: true
},
xAxis: [
{
type: 'category',
data: _this.histogram.dataX,
axisTick: {
alignWithLabel: true
}
}
],
yAxis: [
{
type: 'value'
}
],
series: [
{
name: '访问人数',
type: 'bar',
barWidth: '60%',
data: _this.histogram.dataY
}
]
}
myChart.setOption(option)
}
}
}
折线图
<div id="lineChart" style="width: 100%;height: 300px;display: inline-block;"></div>
import echarts from 'echarts' // 此处引入echarts
export default {
data() {
return {
lineChart: {
lineChartHead: ['访问量', '转载量', '分享量', '收藏量'],
dataX: ['星期一', '星期二', '星期三', '星期四', '星期五', '星期六', '星期日'],
dataY: {
trafficVolume: [120, 132, 101, 134, 90, 230, 210],
reloadVolume: [220, 182, 191, 234, 290, 330, 310],
sharingQuantity: [150, 232, 201, 154, 190, 330, 410],
collectionVolume: [320, 332, 301, 334, 390, 330, 320]
}
}
}
},
mounted() {
this.lineChartInit()
},
methods: {
lineChartInit() { // 折线图初始化
const _this = this
let myChart = echarts.init(document.getElementById('lineChart'))
const option = {
tooltip: {
trigger: 'axis'
},
legend: {
data: _this.lineChart.lineChartHead
},
grid: {
left: '3%',
right: '4%',
bottom: '3%',
containLabel: true
},
xAxis: {
type: 'category',
boundaryGap: false,
data: _this.lineChart.dataX
},
yAxis: {
type: 'value'
},
series: [
{
name: '访问量',
type: 'line',
stack: '总量',
data: _this.lineChart.dataY.trafficVolume
},
{
name: '转载量',
type: 'line',
stack: '总量',
data: _this.lineChart.dataY.reloadVolume
},
{
name: '分享量',
type: 'line',
stack: '总量',
data: _this.lineChart.dataY.sharingQuantity
},
{
name: '收藏量',
type: 'line',
stack: '总量',
data: _this.lineChart.dataY.collectionVolume
}
]
}
myChart.setOption(option)
},
}
}
饼图
<div id="pieChart" style="width: 100%;height: 300px;display: inline-block;"></div>
import echarts from 'echarts' // 此处引入echarts
export default {
data() {
return {
pieChart: {
legendData: ['rose1', 'rose2', 'rose3', 'rose4', 'rose5'],
radiusData: [
{ value: 10, name: 'rose1' },
{ value: 30, name: 'rose2' },
{ value: 15, name: 'rose3' },
{ value: 25, name: 'rose4' },
{ value: 20, name: 'rose5' }
],
areaData: [
{ value: 10, name: 'rose1' },
{ value: 30, name: 'rose2' },
{ value: 15, name: 'rose3' },
{ value: 25, name: 'rose4' },
{ value: 20, name: 'rose5' }
]
}
}
},
mounted() {
this.pieChartInit()
},
methods: {
pieChartInit() { // 饼状图初始化
const _this = this
let myChart = echarts.init(document.getElementById('pieChart'))
const option = {
tooltip: {
trigger: 'item',
formatter: '{a} <br/>{b} : {c} ({d}%)'
},
legend: {
x: 'center',
y: 'bottom',
data: _this.pieChart.legendData
},
calculable: true,
series: [
{
name: '半径模式',
type: 'pie',
radius: [20, 110],
center: ['25%', '50%'],
roseType: 'radius',
label: {
normal: {
show: false
},
emphasis: {
show: true
}
},
lableLine: {
normal: {
show: false
},
emphasis: {
show: true
}
},
data: _this.pieChart.radiusData
},
{
name: '面积模式',
type: 'pie',
radius: [30, 110],
center: ['75%', '50%'],
roseType: 'area',
data: _this.pieChart.areaData
}
]
}
myChart.setOption(option)
}
}
}
散点图
<div id="scatterChart" style="width: 100%;height: 300px;display: inline-block;"></div>
import echarts from 'echarts' // 此处引入echarts
export default {
data() {
return {
scatterChart: {
dataBj: [
[1, 55, 9, 56, 0.46, 18, 6, '良'],
[2, 25, 11, 21, 0.65, 34, 9, '优'],
[3, 56, 7, 63, 0.3, 14, 5, '良'],
[4, 33, 7, 29, 0.33, 16, 6, '优'],
[5, 42, 24, 44, 0.76, 40, 16, '优'],
[6, 82, 58, 90, 1.77, 68, 33, '良'],
[7, 74, 49, 77, 1.46, 48, 27, '良'],
[8, 78, 55, 80, 1.29, 59, 29, '良'],
[9, 267, 216, 280, 4.8, 108, 64, '重度污染'],
[10, 185, 127, 216, 2.52, 61, 27, '中度污染'],
[11, 39, 19, 38, 0.57, 31, 15, '优'],
[12, 41, 11, 40, 0.43, 21, 7, '优'],
[13, 64, 38, 74, 1.04, 46, 22, '良'],
[14, 108, 79, 120, 1.7, 75, 41, '轻度污染'],
[15, 108, 63, 116, 1.48, 44, 26, '轻度污染'],
[16, 33, 6, 29, 0.34, 13, 5, '优'],
[17, 94, 66, 110, 1.54, 62, 31, '良'],
[18, 186, 142, 192, 3.88, 93, 79, '中度污染'],
[19, 57, 31, 54, 0.96, 32, 14, '良'],
[20, 22, 8, 17, 0.48, 23, 10, '优'],
[21, 39, 15, 36, 0.61, 29, 13, '优'],
[22, 94, 69, 114, 2.08, 73, 39, '良'],
[23, 99, 73, 110, 2.43, 76, 48, '良'],
[24, 31, 12, 30, 0.5, 32, 16, '优'],
[25, 42, 27, 43, 1, 53, 22, '优'],
[26, 154, 117, 157, 3.05, 92, 58, '中度污染'],
[27, 234, 185, 230, 4.09, 123, 69, '重度污染'],
[28, 160, 120, 186, 2.77, 91, 50, '中度污染'],
[29, 134, 96, 165, 2.76, 83, 41, '轻度污染'],
[30, 52, 24, 60, 1.03, 50, 21, '良'],
[31, 46, 5, 49, 0.28, 10, 6, '优']
],
dataGz: [
[1, 26, 37, 27, 1.163, 27, 13, '优'],
[2, 85, 62, 71, 1.195, 60, 8, '良'],
[3, 78, 38, 74, 1.363, 37, 7, '良'],
[4, 21, 21, 36, 0.634, 40, 9, '优'],
[5, 41, 42, 46, 0.915, 81, 13, '优'],
[6, 56, 52, 69, 1.067, 92, 16, '良'],
[7, 64, 30, 28, 0.924, 51, 2, '良'],
[8, 55, 48, 74, 1.236, 75, 26, '良'],
[9, 76, 85, 113, 1.237, 114, 27, '良'],
[10, 91, 81, 104, 1.041, 56, 40, '良'],
[11, 84, 39, 60, 0.964, 25, 11, '良'],
[12, 64, 51, 101, 0.862, 58, 23, '良'],
[13, 70, 69, 120, 1.198, 65, 36, '良'],
[14, 77, 105, 178, 2.549, 64, 16, '良'],
[15, 109, 68, 87, 0.996, 74, 29, '轻度污染'],
[16, 73, 68, 97, 0.905, 51, 34, '良'],
[17, 54, 27, 47, 0.592, 53, 12, '良'],
[18, 51, 61, 97, 0.811, 65, 19, '良'],
[19, 91, 71, 121, 1.374, 43, 18, '良'],
[20, 73, 102, 182, 2.787, 44, 19, '良'],
[21, 73, 50, 76, 0.717, 31, 20, '良'],
[22, 84, 94, 140, 2.238, 68, 18, '良'],
[23, 93, 77, 104, 1.165, 53, 7, '良'],
[24, 99, 130, 227, 3.97, 55, 15, '良'],
[25, 146, 84, 139, 1.094, 40, 17, '轻度污染'],
[26, 113, 108, 137, 1.481, 48, 15, '轻度污染'],
[27, 81, 48, 62, 1.619, 26, 3, '良'],
[28, 56, 48, 68, 1.336, 37, 9, '良'],
[29, 82, 92, 174, 3.29, 0, 13, '良'],
[30, 106, 116, 188, 3.628, 101, 16, '轻度污染'],
[31, 118, 50, 0, 1.383, 76, 11, '轻度污染']
],
dataSh: [
[1, 91, 45, 125, 0.82, 34, 23, '良'],
[2, 65, 27, 78, 0.86, 45, 29, '良'],
[3, 83, 60, 84, 1.09, 73, 27, '良'],
[4, 109, 81, 121, 1.28, 68, 51, '轻度污染'],
[5, 106, 77, 114, 1.07, 55, 51, '轻度污染'],
[6, 109, 81, 121, 1.28, 68, 51, '轻度污染'],
[7, 106, 77, 114, 1.07, 55, 51, '轻度污染'],
[8, 89, 65, 78, 0.86, 51, 26, '良'],
[9, 53, 33, 47, 0.64, 50, 17, '良'],
[10, 80, 55, 80, 1.01, 75, 24, '良'],
[11, 117, 81, 124, 1.03, 45, 24, '轻度污染'],
[12, 99, 71, 142, 1.1, 62, 42, '良'],
[13, 95, 69, 130, 1.28, 74, 50, '良'],
[14, 116, 87, 131, 1.47, 84, 40, '轻度污染'],
[15, 108, 80, 121, 1.3, 85, 37, '轻度污染'],
[16, 134, 83, 167, 1.16, 57, 43, '轻度污染'],
[17, 79, 43, 107, 1.05, 59, 37, '良'],
[18, 71, 46, 89, 0.86, 64, 25, '良'],
[19, 97, 71, 113, 1.17, 88, 31, '良'],
[20, 84, 57, 91, 0.85, 55, 31, '良'],
[21, 87, 63, 101, 0.9, 56, 41, '良'],
[22, 104, 77, 119, 1.09, 73, 48, '轻度污染'],
[23, 87, 62, 100, 1, 72, 28, '良'],
[24, 168, 128, 172, 1.49, 97, 56, '中度污染'],
[25, 65, 45, 51, 0.74, 39, 17, '良'],
[26, 39, 24, 38, 0.61, 47, 17, '优'],
[27, 39, 24, 39, 0.59, 50, 19, '优'],
[28, 93, 68, 96, 1.05, 79, 29, '良'],
[29, 188, 143, 197, 1.66, 99, 51, '中度污染'],
[30, 174, 131, 174, 1.55, 108, 50, '中度污染'],
[31, 187, 143, 201, 1.39, 89, 53, '中度污染']
],
schema: [
{ name: 'date', index: 0, text: '日' },
{ name: 'AQIindex', index: 1, text: 'AQI指数' },
{ name: 'PM25', index: 2, text: 'PM2.5' },
{ name: 'PM10', index: 3, text: 'PM10' },
{ name: 'CO', index: 4, text: '一氧化碳（CO）' },
{ name: 'NO2', index: 5, text: '二氧化氮（NO2）' },
{ name: 'SO2', index: 6, text: '二氧化硫（SO2）' }
],
itemStyle: {
normal: {
opacity: 0.8,
shadowBlur: 10,
shadowOffsetX: 0,
shadowOffsetY: 0,
shadowColor: 'rgba(0, 0, 0, 0.5)'
}
}
}
}
},
mounted() {
this.scatterInit()
},
methods: {
scatterInit() { // 散点图初始化
const _this = this
let myChart = echarts.init(document.getElementById('scatterChart'))
const option = {
legend: {
y: 'top',
data: ['北京', '上海', '广州'],
textStyle: {
color: '#333',
fontSize: 16
}
},
grid: {
x: '10%',
x2: 150,
y: '18%',
y2: '10%'
},
tooltip: {
padding: 10,
backgroundColor: '#222',
borderColor: '#777',
borderWidth: 1,
formatter: function(obj) {
var value = obj.value
return '<div style="border-bottom: 1px solid rgba(255,255,255,.3); font-size: 18px;padding-bottom: 7px;margin-bottom: 7px">' +
obj.seriesName + ' ' + value[0] + '日：' +
value[7] +
'</div>'
// _this.scatterChart.schema[1].text + '：' + value[1] + '<br>' +
// _this.scatterChart.schema[2].text + '：' + value[2] + '<br>' +
// _this.scatterChart.schema[3].text + '：' + value[3] + '<br>' +
// _this.scatterChart.schema[4].text + '：' + value[4] + '<br>' +
// _this.scatterChart.schema[5].text + '：' + value[5] + '<br>' +
// _this.scatterChart.schema[6].text + '：' + value[6] + '<br>'
}
},
xAxis: {
type: 'value',
name: '日期',
nameGap: 16,
nameTextStyle: {
color: '#333',
fontSize: 14
},
max: 31,
splitLine: {
show: false
},
axisLine: {
lineStyle: {
color: '#333'
}
}
},
yAxis: {
type: 'value',
name: 'AQI指数',
nameLocation: 'end',
nameGap: 20,
nameTextStyle: {
color: '#333',
fontSize: 16
},
axisLine: {
lineStyle: {
color: '#333'
}
},
splitLine: {
show: false
}
},
visualMap: [
{
show: false,
left: 'right',
top: '10%',
dimension: 2,
min: 0,
max: 250,
itemWidth: 30,
itemHeight: 120,
calculable: true,
precision: 0.1,
text: ['圆形大小：PM2.5'],
textGap: 30,
textStyle: {
color: '#fff'
},
inRange: {
symbolSize: [10, 70]
},
outOfRange: {
symbolSize: [10, 70],
color: ['rgba(255,255,255,.2)']
},
controller: {
inRange: {
color: ['#c23531']
},
outOfRange: {
color: ['#444']
}
}
},
{
show: false,
left: 'right',
bottom: '5%',
dimension: 6,
min: 0,
max: 50,
itemHeight: 120,
calculable: true,
precision: 0.1,
text: ['明暗：二氧化硫'],
textGap: 30,
textStyle: {
color: '#fff'
},
inRange: {
colorLightness: [1, 0.5]
},
outOfRange: {
color: ['rgba(255,255,255,.2)']
},
controller: {
inRange: {
color: ['#c23531']
},
outOfRange: {
color: ['#444']
}
}
}
],
series: [
{
show: false,
name: '北京',
type: 'scatter',
itemStyle: _this.scatterChart.itemStyle,
data: _this.scatterChart.dataBj
},
{
name: '上海',
type: 'scatter',
itemStyle: _this.scatterChart.itemStyle,
data: _this.scatterChart.dataSh
},
{
name: '广州',
type: 'scatter',
itemStyle: _this.scatterChart.itemStyle,
data: _this.scatterChart.dataGz
}
]
}
myChart.setOption(option)
}
}
}
散点图
<div id="cricularGraph" style="width: 100%;height: 300px;display: inline-block;"></div>
import echarts from 'echarts' // 此处引入echarts
export default {
data() {
return {
cricularGraph: {
legendData: ['直接访问', '邮件营销', '联盟广告', '视频广告', '搜索引擎'],
seriesData: [
{ value: 335, name: '直接访问' },
{ value: 310, name: '邮件营销' },
{ value: 234, name: '联盟广告' },
{ value: 135, name: '视频广告' },
{ value: 1548, name: '搜索引擎' }
]
}
}
},
mounted() {
this.cricularGraphInit()
},
methods: {
cricularGraphInit() { // 环形图初始化
const _this = this
let myChart = echarts.init(document.getElementById('cricularGraph'))
const option = {
tooltip: {
trigger: 'item',
formatter: '{a} <br/>{b}: {c} ({d}%)'
},
legend: {
orient: 'vertical',
x: 'left',
data: _this.cricularGraph.legendData
},
series: [
{
name: '访问来源',
type: 'pie',
radius: ['50%', '70%'],
avoidLabelOverlap: false,
label: {
normal: {
show: false,
position: 'center'
},
emphasis: {
show: true,
textStyle: {
fontSize: '30',
fontWeight: 'bold'
}
}
},
labelLine: {
normal: {
show: false
}
},
data: _this.cricularGraph.seriesData
}
]
}
myChart.setOption(option)
}
}
}