public/examples/ts/scatter-matrix.ts - echarts-examples - Git at Google

 /*
 title: Scatter Matrix
 category: 'parallel, scatter'
 titleCN: 散点矩阵和平行坐标
 difficulty: 10
 */

 // Schema:
 // date,AQIindex,PM2.5,PM10,CO,NO2,SO2
 const schema = [
   { name: 'AQIindex', index: 1, text: 'AQI' },
   { name: 'PM25', index: 2, text: 'PM 2.5' },
   { name: 'PM10', index: 3, text: 'PM 10' },
   { 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' }
 ];

 const rawData = [
   [55, 9, 56, 0.46, 18, 6, '良', '北京'],
   [25, 11, 21, 0.65, 34, 9, '优', '北京'],
   [56, 7, 63, 0.3, 14, 5, '良', '北京'],
   [33, 7, 29, 0.33, 16, 6, '优', '北京'],
   [42, 24, 44, 0.76, 40, 16, '优', '北京'],
   [82, 58, 90, 1.77, 68, 33, '良', '北京'],
   [74, 49, 77, 1.46, 48, 27, '良', '北京'],
   [78, 55, 80, 1.29, 59, 29, '良', '北京'],
   [267, 216, 280, 4.8, 108, 64, '重度', '北京'],
   [185, 127, 216, 2.52, 61, 27, '中度', '北京'],
   [39, 19, 38, 0.57, 31, 15, '优', '北京'],
   [41, 11, 40, 0.43, 21, 7, '优', '北京'],
   [64, 38, 74, 1.04, 46, 22, '良', '北京'],
   [108, 79, 120, 1.7, 75, 41, '轻度', '北京'],
   [108, 63, 116, 1.48, 44, 26, '轻度', '北京'],
   [33, 6, 29, 0.34, 13, 5, '优', '北京'],
   [94, 66, 110, 1.54, 62, 31, '良', '北京'],
   [186, 142, 192, 3.88, 93, 79, '中度', '北京'],
   [57, 31, 54, 0.96, 32, 14, '良', '北京'],
   [22, 8, 17, 0.48, 23, 10, '优', '北京'],
   [39, 15, 36, 0.61, 29, 13, '优', '北京'],
   [94, 69, 114, 2.08, 73, 39, '良', '北京'],
   [99, 73, 110, 2.43, 76, 48, '良', '北京'],
   [31, 12, 30, 0.5, 32, 16, '优', '北京'],
   [42, 27, 43, 1, 53, 22, '优', '北京'],
   [154, 117, 157, 3.05, 92, 58, '中度', '北京'],
   [234, 185, 230, 4.09, 123, 69, '重度', '北京'],
   [160, 120, 186, 2.77, 91, 50, '中度', '北京'],
   [134, 96, 165, 2.76, 83, 41, '轻度', '北京'],
   [52, 24, 60, 1.03, 50, 21, '良', '北京'],
   [46, 5, 49, 0.28, 10, 6, '优', '北京'],

   [26, 37, 27, 1.163, 27, 13, '优', '广州'],
   [85, 62, 71, 1.195, 60, 8, '良', '广州'],
   [78, 38, 74, 1.363, 37, 7, '良', '广州'],
   [21, 21, 36, 0.634, 40, 9, '优', '广州'],
   [41, 42, 46, 0.915, 81, 13, '优', '广州'],
   [56, 52, 69, 1.067, 92, 16, '良', '广州'],
   [64, 30, 28, 0.924, 51, 2, '良', '广州'],
   [55, 48, 74, 1.236, 75, 26, '良', '广州'],
   [76, 85, 113, 1.237, 114, 27, '良', '广州'],
   [91, 81, 104, 1.041, 56, 40, '良', '广州'],
   [84, 39, 60, 0.964, 25, 11, '良', '广州'],
   [64, 51, 101, 0.862, 58, 23, '良', '广州'],
   [70, 69, 120, 1.198, 65, 36, '良', '广州'],
   [77, 105, 178, 2.549, 64, 16, '良', '广州'],
   [109, 68, 87, 0.996, 74, 29, '轻度', '广州'],
   [73, 68, 97, 0.905, 51, 34, '良', '广州'],
   [54, 27, 47, 0.592, 53, 12, '良', '广州'],
   [51, 61, 97, 0.811, 65, 19, '良', '广州'],
   [91, 71, 121, 1.374, 43, 18, '良', '广州'],
   [73, 102, 182, 2.787, 44, 19, '良', '广州'],
   [73, 50, 76, 0.717, 31, 20, '良', '广州'],
   [84, 94, 140, 2.238, 68, 18, '良', '广州'],
   [93, 77, 104, 1.165, 53, 7, '良', '广州'],
   [99, 130, 227, 3.97, 55, 15, '良', '广州'],
   [146, 84, 139, 1.094, 40, 17, '轻度', '广州'],
   [113, 108, 137, 1.481, 48, 15, '轻度', '广州'],
   [81, 48, 62, 1.619, 26, 3, '良', '广州'],
   [56, 48, 68, 1.336, 37, 9, '良', '广州'],
   [82, 92, 174, 3.29, 0, 13, '良', '广州'],
   [106, 116, 188, 3.628, 101, 16, '轻度', '广州'],
   [118, 50, 0, 1.383, 76, 11, '轻度', '广州'],

   [91, 45, 125, 0.82, 34, 23, '良', '上海'],
   [65, 27, 78, 0.86, 45, 29, '良', '上海'],
   [83, 60, 84, 1.09, 73, 27, '良', '上海'],
   [109, 81, 121, 1.28, 68, 51, '轻度', '上海'],
   [106, 77, 114, 1.07, 55, 51, '轻度', '上海'],
   [109, 81, 121, 1.28, 68, 51, '轻度', '上海'],
   [106, 77, 114, 1.07, 55, 51, '轻度', '上海'],
   [89, 65, 78, 0.86, 51, 26, '良', '上海'],
   [53, 33, 47, 0.64, 50, 17, '良', '上海'],
   [80, 55, 80, 1.01, 75, 24, '良', '上海'],
   [117, 81, 124, 1.03, 45, 24, '轻度', '上海'],
   [99, 71, 142, 1.1, 62, 42, '良', '上海'],
   [95, 69, 130, 1.28, 74, 50, '良', '上海'],
   [116, 87, 131, 1.47, 84, 40, '轻度', '上海'],
   [108, 80, 121, 1.3, 85, 37, '轻度', '上海'],
   [134, 83, 167, 1.16, 57, 43, '轻度', '上海'],
   [79, 43, 107, 1.05, 59, 37, '良', '上海'],
   [71, 46, 89, 0.86, 64, 25, '良', '上海'],
   [97, 71, 113, 1.17, 88, 31, '良', '上海'],
   [84, 57, 91, 0.85, 55, 31, '良', '上海'],
   [87, 63, 101, 0.9, 56, 41, '良', '上海'],
   [104, 77, 119, 1.09, 73, 48, '轻度', '上海'],
   [87, 62, 100, 1, 72, 28, '良', '上海'],
   [168, 128, 172, 1.49, 97, 56, '中度', '上海'],
   [65, 45, 51, 0.74, 39, 17, '良', '上海'],
   [39, 24, 38, 0.61, 47, 17, '优', '上海'],
   [39, 24, 39, 0.59, 50, 19, '优', '上海'],
   [93, 68, 96, 1.05, 79, 29, '良', '上海'],
   [188, 143, 197, 1.66, 99, 51, '中度', '上海'],
   [174, 131, 174, 1.55, 108, 50, '中度', '上海'],
   [187, 143, 201, 1.39, 89, 53, '中度', '上海']
 ];

 const CATEGORY_DIM_COUNT = 6;
 const GAP = 2;
 const BASE_LEFT = 5;
 const BASE_TOP = 10;
 // const GRID_WIDTH = 220;
 // const GRID_HEIGHT = 220;
 const GRID_WIDTH = (100 - BASE_LEFT - GAP) / CATEGORY_DIM_COUNT - GAP;
 const GRID_HEIGHT = (100 - BASE_TOP - GAP) / CATEGORY_DIM_COUNT - GAP;
 const CATEGORY_DIM = 7;
 const SYMBOL_SIZE = 4;

 function retrieveScatterData(
   data: (number | string)[][],
   dimX: number,
   dimY: number
 ) {
   let result = [];
   for (let i = 0; i < data.length; i++) {
     let item = [data[i][dimX], data[i][dimY]];
     item[CATEGORY_DIM] = data[i][CATEGORY_DIM];
     result.push(item);
   }
   return result;
 }

 function generateGrids() {
   let index = 0;

   const grid: echarts.GridComponentOption[] = [];
   const xAxis: echarts.XAXisComponentOption[] = [];
   const yAxis: echarts.YAXisComponentOption[] = [];
   const series: echarts.SeriesOption[] = [];

   for (let i = 0; i < CATEGORY_DIM_COUNT; i++) {
     for (let j = 0; j < CATEGORY_DIM_COUNT; j++) {
       if (CATEGORY_DIM_COUNT - i + j >= CATEGORY_DIM_COUNT) {
         continue;
       }

       grid.push({
         left: BASE_LEFT + i * (GRID_WIDTH + GAP) + '%',
         top: BASE_TOP + j * (GRID_HEIGHT + GAP) + '%',
         width: GRID_WIDTH + '%',
         height: GRID_HEIGHT + '%'
       });

       xAxis.push({
         splitNumber: 3,
         position: 'top',
         axisLine: {
           show: j === 0,
           onZero: false
         },
         axisTick: {
           show: j === 0,
           inside: true
         },
         axisLabel: {
           show: j === 0
         },
         type: 'value',
         gridIndex: index,
         scale: true
       });

       yAxis.push({
         splitNumber: 3,
         position: 'right',
         axisLine: {
           show: i === CATEGORY_DIM_COUNT - 1,
           onZero: false
         },
         axisTick: {
           show: i === CATEGORY_DIM_COUNT - 1,
           inside: true
         },
         axisLabel: {
           show: i === CATEGORY_DIM_COUNT - 1
         },
         type: 'value',
         gridIndex: index,
         scale: true
       });

       series.push({
         type: 'scatter',
         symbolSize: SYMBOL_SIZE,
         xAxisIndex: index,
         yAxisIndex: index,
         data: retrieveScatterData(rawData, i, j)
       });

       index++;
     }
   }

   return {
     grid,
     xAxis,
     yAxis,
     series
   };
 }

 const gridOption = generateGrids();

 option = {
   animation: false,
   brush: {
     brushLink: 'all',
     xAxisIndex: gridOption.xAxis.map(function (_, idx) {
       return idx;
     }),
     yAxisIndex: gridOption.yAxis.map(function (_, idx) {
       return idx;
     }),
     inBrush: {
       opacity: 1
     }
   },
   visualMap: {
     type: 'piecewise',
     categories: ['北京', '上海', '广州'],
     dimension: CATEGORY_DIM,
     orient: 'horizontal',
     top: 0,
     left: 'center',
     inRange: {
       color: ['#51689b', '#ce5c5c', '#fbc357']
     },
     outOfRange: {
       color: '#ddd'
     },
     seriesIndex: gridOption.series.map(function (_, idx) {
       return idx;
     })
   },
   tooltip: {
     trigger: 'item'
   },
   parallelAxis: [
     { dim: 0, name: schema[0].text },
     { 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,
       type: 'category',
       data: ['优', '良', '轻度', '中度', '重度', '严重']
     }
   ],
   parallel: {
     bottom: '5%',
     left: '2%',
     height: '30%',
     width: '55%',
     parallelAxisDefault: {
       type: 'value',
       name: 'AQI指数',
       nameLocation: 'end',
       nameGap: 20,
       splitNumber: 3,
       nameTextStyle: {
         fontSize: 14
       },
       axisLine: {
         lineStyle: {
           color: '#555'
         }
       },
       axisTick: {
         lineStyle: {
           color: '#555'
         }
       },
       splitLine: {
         show: false
       },
       axisLabel: {
         color: '#555'
       }
     }
   },
   xAxis: gridOption.xAxis,
   yAxis: gridOption.yAxis,
   grid: gridOption.grid,
   series: [
     {
       name: 'parallel',
       type: 'parallel',
       smooth: true,
       lineStyle: {
         width: 1,
         opacity: 0.3
       },
       data: rawData
     },
     ...gridOption.series
   ]
 };

 export {};
	/*
	title: Scatter Matrix
	category: 'parallel, scatter'
	titleCN: 散点矩阵和平行坐标
	difficulty: 10
	*/

	// Schema:
	// date,AQIindex,PM2.5,PM10,CO,NO2,SO2
	const schema = [
	{ name: 'AQIindex', index: 1, text: 'AQI' },
	{ name: 'PM25', index: 2, text: 'PM 2.5' },
	{ name: 'PM10', index: 3, text: 'PM 10' },
	{ 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' }
	];

	const rawData = [
	[55, 9, 56, 0.46, 18, 6, '良', '北京'],
	[25, 11, 21, 0.65, 34, 9, '优', '北京'],
	[56, 7, 63, 0.3, 14, 5, '良', '北京'],
	[33, 7, 29, 0.33, 16, 6, '优', '北京'],
	[42, 24, 44, 0.76, 40, 16, '优', '北京'],
	[82, 58, 90, 1.77, 68, 33, '良', '北京'],
	[74, 49, 77, 1.46, 48, 27, '良', '北京'],
	[78, 55, 80, 1.29, 59, 29, '良', '北京'],
	[267, 216, 280, 4.8, 108, 64, '重度', '北京'],
	[185, 127, 216, 2.52, 61, 27, '中度', '北京'],
	[39, 19, 38, 0.57, 31, 15, '优', '北京'],
	[41, 11, 40, 0.43, 21, 7, '优', '北京'],
	[64, 38, 74, 1.04, 46, 22, '良', '北京'],
	[108, 79, 120, 1.7, 75, 41, '轻度', '北京'],
	[108, 63, 116, 1.48, 44, 26, '轻度', '北京'],
	[33, 6, 29, 0.34, 13, 5, '优', '北京'],
	[94, 66, 110, 1.54, 62, 31, '良', '北京'],
	[186, 142, 192, 3.88, 93, 79, '中度', '北京'],
	[57, 31, 54, 0.96, 32, 14, '良', '北京'],
	[22, 8, 17, 0.48, 23, 10, '优', '北京'],
	[39, 15, 36, 0.61, 29, 13, '优', '北京'],
	[94, 69, 114, 2.08, 73, 39, '良', '北京'],
	[99, 73, 110, 2.43, 76, 48, '良', '北京'],
	[31, 12, 30, 0.5, 32, 16, '优', '北京'],
	[42, 27, 43, 1, 53, 22, '优', '北京'],
	[154, 117, 157, 3.05, 92, 58, '中度', '北京'],
	[234, 185, 230, 4.09, 123, 69, '重度', '北京'],
	[160, 120, 186, 2.77, 91, 50, '中度', '北京'],
	[134, 96, 165, 2.76, 83, 41, '轻度', '北京'],
	[52, 24, 60, 1.03, 50, 21, '良', '北京'],
	[46, 5, 49, 0.28, 10, 6, '优', '北京'],

	[26, 37, 27, 1.163, 27, 13, '优', '广州'],
	[85, 62, 71, 1.195, 60, 8, '良', '广州'],
	[78, 38, 74, 1.363, 37, 7, '良', '广州'],
	[21, 21, 36, 0.634, 40, 9, '优', '广州'],
	[41, 42, 46, 0.915, 81, 13, '优', '广州'],
	[56, 52, 69, 1.067, 92, 16, '良', '广州'],
	[64, 30, 28, 0.924, 51, 2, '良', '广州'],
	[55, 48, 74, 1.236, 75, 26, '良', '广州'],
	[76, 85, 113, 1.237, 114, 27, '良', '广州'],
	[91, 81, 104, 1.041, 56, 40, '良', '广州'],
	[84, 39, 60, 0.964, 25, 11, '良', '广州'],
	[64, 51, 101, 0.862, 58, 23, '良', '广州'],
	[70, 69, 120, 1.198, 65, 36, '良', '广州'],
	[77, 105, 178, 2.549, 64, 16, '良', '广州'],
	[109, 68, 87, 0.996, 74, 29, '轻度', '广州'],
	[73, 68, 97, 0.905, 51, 34, '良', '广州'],
	[54, 27, 47, 0.592, 53, 12, '良', '广州'],
	[51, 61, 97, 0.811, 65, 19, '良', '广州'],
	[91, 71, 121, 1.374, 43, 18, '良', '广州'],
	[73, 102, 182, 2.787, 44, 19, '良', '广州'],
	[73, 50, 76, 0.717, 31, 20, '良', '广州'],
	[84, 94, 140, 2.238, 68, 18, '良', '广州'],
	[93, 77, 104, 1.165, 53, 7, '良', '广州'],
	[99, 130, 227, 3.97, 55, 15, '良', '广州'],
	[146, 84, 139, 1.094, 40, 17, '轻度', '广州'],
	[113, 108, 137, 1.481, 48, 15, '轻度', '广州'],
	[81, 48, 62, 1.619, 26, 3, '良', '广州'],
	[56, 48, 68, 1.336, 37, 9, '良', '广州'],
	[82, 92, 174, 3.29, 0, 13, '良', '广州'],
	[106, 116, 188, 3.628, 101, 16, '轻度', '广州'],
	[118, 50, 0, 1.383, 76, 11, '轻度', '广州'],

	[91, 45, 125, 0.82, 34, 23, '良', '上海'],
	[65, 27, 78, 0.86, 45, 29, '良', '上海'],
	[83, 60, 84, 1.09, 73, 27, '良', '上海'],
	[109, 81, 121, 1.28, 68, 51, '轻度', '上海'],
	[106, 77, 114, 1.07, 55, 51, '轻度', '上海'],
	[109, 81, 121, 1.28, 68, 51, '轻度', '上海'],
	[106, 77, 114, 1.07, 55, 51, '轻度', '上海'],
	[89, 65, 78, 0.86, 51, 26, '良', '上海'],
	[53, 33, 47, 0.64, 50, 17, '良', '上海'],
	[80, 55, 80, 1.01, 75, 24, '良', '上海'],
	[117, 81, 124, 1.03, 45, 24, '轻度', '上海'],
	[99, 71, 142, 1.1, 62, 42, '良', '上海'],
	[95, 69, 130, 1.28, 74, 50, '良', '上海'],
	[116, 87, 131, 1.47, 84, 40, '轻度', '上海'],
	[108, 80, 121, 1.3, 85, 37, '轻度', '上海'],
	[134, 83, 167, 1.16, 57, 43, '轻度', '上海'],
	[79, 43, 107, 1.05, 59, 37, '良', '上海'],
	[71, 46, 89, 0.86, 64, 25, '良', '上海'],
	[97, 71, 113, 1.17, 88, 31, '良', '上海'],
	[84, 57, 91, 0.85, 55, 31, '良', '上海'],
	[87, 63, 101, 0.9, 56, 41, '良', '上海'],
	[104, 77, 119, 1.09, 73, 48, '轻度', '上海'],
	[87, 62, 100, 1, 72, 28, '良', '上海'],
	[168, 128, 172, 1.49, 97, 56, '中度', '上海'],
	[65, 45, 51, 0.74, 39, 17, '良', '上海'],
	[39, 24, 38, 0.61, 47, 17, '优', '上海'],
	[39, 24, 39, 0.59, 50, 19, '优', '上海'],
	[93, 68, 96, 1.05, 79, 29, '良', '上海'],
	[188, 143, 197, 1.66, 99, 51, '中度', '上海'],
	[174, 131, 174, 1.55, 108, 50, '中度', '上海'],
	[187, 143, 201, 1.39, 89, 53, '中度', '上海']
	];

	const CATEGORY_DIM_COUNT = 6;
	const GAP = 2;
	const BASE_LEFT = 5;
	const BASE_TOP = 10;
	// const GRID_WIDTH = 220;
	// const GRID_HEIGHT = 220;
	const GRID_WIDTH = (100 - BASE_LEFT - GAP) / CATEGORY_DIM_COUNT - GAP;
	const GRID_HEIGHT = (100 - BASE_TOP - GAP) / CATEGORY_DIM_COUNT - GAP;
	const CATEGORY_DIM = 7;
	const SYMBOL_SIZE = 4;

	function retrieveScatterData(
	data: (number \| string)[][],
	dimX: number,
	dimY: number
	) {
	let result = [];
	for (let i = 0; i < data.length; i++) {
	let item = [data[i][dimX], data[i][dimY]];
	item[CATEGORY_DIM] = data[i][CATEGORY_DIM];
	result.push(item);
	}
	return result;
	}

	function generateGrids() {
	let index = 0;

	const grid: echarts.GridComponentOption[] = [];
	const xAxis: echarts.XAXisComponentOption[] = [];
	const yAxis: echarts.YAXisComponentOption[] = [];
	const series: echarts.SeriesOption[] = [];

	for (let i = 0; i < CATEGORY_DIM_COUNT; i++) {
	for (let j = 0; j < CATEGORY_DIM_COUNT; j++) {
	if (CATEGORY_DIM_COUNT - i + j >= CATEGORY_DIM_COUNT) {
	continue;
	}

	grid.push({
	left: BASE_LEFT + i * (GRID_WIDTH + GAP) + '%',
	top: BASE_TOP + j * (GRID_HEIGHT + GAP) + '%',
	width: GRID_WIDTH + '%',
	height: GRID_HEIGHT + '%'
	});

	xAxis.push({
	splitNumber: 3,
	position: 'top',
	axisLine: {
	show: j === 0,
	onZero: false
	},
	axisTick: {
	show: j === 0,
	inside: true
	},
	axisLabel: {
	show: j === 0
	},
	type: 'value',
	gridIndex: index,
	scale: true
	});

	yAxis.push({
	splitNumber: 3,
	position: 'right',
	axisLine: {
	show: i === CATEGORY_DIM_COUNT - 1,
	onZero: false
	},
	axisTick: {
	show: i === CATEGORY_DIM_COUNT - 1,
	inside: true
	},
	axisLabel: {
	show: i === CATEGORY_DIM_COUNT - 1
	},
	type: 'value',
	gridIndex: index,
	scale: true
	});

	series.push({
	type: 'scatter',
	symbolSize: SYMBOL_SIZE,
	xAxisIndex: index,
	yAxisIndex: index,
	data: retrieveScatterData(rawData, i, j)
	});

	index++;
	}
	}

	return {
	grid,
	xAxis,
	yAxis,
	series
	};
	}

	const gridOption = generateGrids();

	option = {
	animation: false,
	brush: {
	brushLink: 'all',
	xAxisIndex: gridOption.xAxis.map(function (_, idx) {
	return idx;
	}),
	yAxisIndex: gridOption.yAxis.map(function (_, idx) {
	return idx;
	}),
	inBrush: {
	opacity: 1
	}
	},
	visualMap: {
	type: 'piecewise',
	categories: ['北京', '上海', '广州'],
	dimension: CATEGORY_DIM,
	orient: 'horizontal',
	top: 0,
	left: 'center',
	inRange: {
	color: ['#51689b', '#ce5c5c', '#fbc357']
	},
	outOfRange: {
	color: '#ddd'
	},
	seriesIndex: gridOption.series.map(function (_, idx) {
	return idx;
	})
	},
	tooltip: {
	trigger: 'item'
	},
	parallelAxis: [
	{ dim: 0, name: schema[0].text },
	{ 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,
	type: 'category',
	data: ['优', '良', '轻度', '中度', '重度', '严重']
	}
	],
	parallel: {
	bottom: '5%',
	left: '2%',
	height: '30%',
	width: '55%',
	parallelAxisDefault: {
	type: 'value',
	name: 'AQI指数',
	nameLocation: 'end',
	nameGap: 20,
	splitNumber: 3,
	nameTextStyle: {
	fontSize: 14
	},
	axisLine: {
	lineStyle: {
	color: '#555'
	}
	},
	axisTick: {
	lineStyle: {
	color: '#555'
	}
	},
	splitLine: {
	show: false
	},
	axisLabel: {
	color: '#555'
	}
	}
	},
	xAxis: gridOption.xAxis,
	yAxis: gridOption.yAxis,
	grid: gridOption.grid,
	series: [
	{
	name: 'parallel',
	type: 'parallel',
	smooth: true,
	lineStyle: {
	width: 1,
	opacity: 0.3
	},
	data: rawData
	},
	...gridOption.series
	]
	};

	export {};