echarts版本是5.0.0，我是用series方式显示时间轴的，但是series方式展示时间不能排序，时间小的反而在后面展示了（即，2020-10-9 00:00:00展示在2020-10-9 00:00:02的后面了），我想要让两个折线按照时间来排序如何做？即2020-10-9 00:00:00展示在2020-10-9 00:00:02的前面这种时间升序格式
var dataTemperature =
[
['2020-10-9 00:00:00', 11], ['2020-10-9 15:00:01', 29], ['2020-10-9 15:00:08', 6]
];
var dataTemperatureB =
[
['2020-10-9 00:00:02', 14], ['2020-10-9 15:00:04', 35], ['2020-10-9 15:00:12', 8]
];
var myChart = echarts.init(document.getElementById('trendChart'));
var option = {
tooltip: {
trigger: 'axis',
position: function (pt) {
return [pt[0], '10%'];
}
},
backgroundColor: '#ececf2',
//title: {
// left: 'center',
// text: '大数据量面积图',
//},
toolbox: {
feature: {
dataZoom: {
yAxisIndex: 'none'
},
restore: {},
saveAsImage: {}
}
},
legend: {
data: ['温度'],
x: 'left'
},
xAxis: {
// 根据x轴数据决定type类型
type: 'time',
boundaryGap: false
// 注： x轴不指定data,自动会从series取
//data: []
},
yAxis: {
type: 'value',
boundaryGap: [0, '10%']
},
dataZoom: [{
type: 'inside',
start: 0,
end: 10
}, {
start: 0,
end: 10,
handleIcon: 'M10.7,11.9v-1.3H9.3v1.3c-4.9,0.3-8.8,4.4-8.8,9.4c0,5,3.9,9.1,8.8,9.4v1.3h1.3v-1.3c4.9-0.3,8.8-4.4,8.8-9.4C19.5,16.3,15.6,12.2,10.7,11.9z M13.3,24.4H6.7V23h6.6V24.4z M13.3,19.6H6.7v-1.4h6.6V19.6z',
handleSize: '80%',
handleStyle: {
color: '#fff',
shadowBlur: 3,
shadowColor: 'rgba(0, 0, 0, 0.6)',
shadowOffsetX: 2,
shadowOffsetY: 2
}
}],
series: [
{
name: 'A相电流',
type: 'line',
smooth: true,
//symbol: 'none',
//sampling: 'average',
//itemStyle: {
// color: 'rgb(300,100,100)'
//},
data: dataTemperature,
connectNulls: false
},
{
name: 'B相电流',
type: 'line',
smooth: true,
//symbol: 'none',
//sampling: 'average',
//itemStyle: {
// color: 'rgb(300,100,100)'
//},
data: dataTemperatureB,
connectNulls: false
}
]
};
myChart.setOption(option);
echarts版本是5.0.0，我是用series方式显示时间轴的，但是series方式展示时间不能排序，时间小的反而在后面展示了（即，2020-10-9 00:00:00展示在2020-10-9 00:00:02的后面了），我想要让两个折线按照时间来排序如何做？即2020-10-9 00:00:00展示在2020-10-9 00:00:02的前面这种时间升序格式
var dataTemperature =
[
['2020-10-9 00:00:00', 11], ['2020-10-9 15:00:01', 29], ['2020-10-9 15:00:08', 6]
];
var dataTemperatureB =
[
['2020-10-9 00:00:02', 14], ['2020-10-9 15:00:04', 35], ['2020-10-9 15:00:12', 8]
];