Toggle navigation
请问平行坐标parallel Axis如何找到鼠标事件Event listener?
By
x***3
2019-09-08 04:08:43
脚本
16
21
作品使用的第三方脚本
数据管理
上传数据
支持小于 5M 任意格式(csv, xlsx, json, xml, ...)的数据文件
上传后可以通过生成的文件链接异步获取托管的数据。
历史数据
0 条
无历史数据
代码修改记录
信息提示
保存作品
对当前截图不满意?你还可以
上传本地截图
重新截图
作品名称
作品描述
标签
geo
grid
legend
markLine
markPoint
bar
effectScatter
line
lines
map
timeline
title
toolbox
tooltip
visualMap
作品默认版本
最新
16
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
20:11:45
图表已生成
整理代码
刷新
代码
var 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"] ]; var 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"] ]; var 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"] ]; var schema = [{ name: 'date', index: 0, text: '日期' }, { name: 'AQIindex', index: 1, text: 'AQI' }, { name: 'PM25', index: 2, text: 'PM2.5' }, { name: 'PM10', index: 3, text: 'PM10' }, { name: 'CO', index: 4, text: ' CO' }, { name: 'NO2', index: 5, text: 'NO2' }, { name: 'SO2', index: 6, text: 'SO2' }, { name: '等级', index: 7, text: '等级' } ]; var lineStyle = { normal: { width: 1, opacity: 0.5 } }; option = { color: [ '#c23531', '#91c7ae', '#dd8668' ], legend: { top: 10, data: ['北京', '上海', '广州'], itemGap: 20 }, parallelAxis: [{ dim: 0, name: schema[0].text, inverse: true, max: 31, nameLocation: 'start' }, { dim: 1, name: schema[1].text }, { dim: 2, name: schema[2].text }, { dim: 3, name: schema[3].text }, { dim: 4, name: schema[4].text }, { dim: 5, name: schema[5].text }, { dim: 6, name: schema[6].text }, { dim: 7, name: schema[7].text, type: 'category', data: ['优', '良', '轻度污染', '中度污染', '重度污染', '严重污染'] } ], parallel: { left: '5%', right: '13%', bottom: '10%', top: '20%', parallelAxisDefault: { type: 'value', name: 'AQI指数', nameLocation: 'end', nameGap: 20, nameTextStyle: { fontSize: 12 } } }, series: [{ name: '北京', type: 'parallel', lineStyle: lineStyle, data: dataBJ }, { name: '上海', type: 'parallel', lineStyle: lineStyle, data: dataSH }, { name: '广州', type: 'parallel', lineStyle: lineStyle, data: dataGZ } ] }; myChart.on('mouseover', {seriesIndex:1}, function (event) { console.log(event); console.log('helloworld'); });