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Posted to dev@echarts.apache.org by GitBox <gi...@apache.org> on 2018/10/30 16:13:07 UTC
[GitHub] mzy2240 removed a comment on issue #9212: For Map Application,
update the scatter data will erase all the lines data
mzy2240 removed a comment on issue #9212: For Map Application, update the scatter data will erase all the lines data
URL: https://github.com/apache/incubator-echarts/issues/9212#issuecomment-429211783
Below is the code to reproduce the issue. You will notice that the line does not exist in the chart. It is based on the official example at http://echarts.baidu.com/examples/editor.html?c=map-polygon. You can copy and paste the code there.
var data = [{
name: '海门',
value: 9
},
{
name: '鄂尔多斯',
value: 12
},
{
name: '招远',
value: 12
},
{
name: '舟山',
value: 12
},
{
name: '齐齐哈尔',
value: 14
},
{
name: '盐城',
value: 15
},
{
name: '赤峰',
value: 16
},
{
name: '青岛',
value: 18
},
{
name: '乳山',
value: 18
},
{
name: '金昌',
value: 19
},
{
name: '泉州',
value: 21
},
{
name: '莱西',
value: 21
},
{
name: '日照',
value: 21
},
{
name: '胶南',
value: 22
},
{
name: '南通',
value: 23
},
{
name: '拉萨',
value: 24
},
{
name: '云浮',
value: 24
},
{
name: '梅州',
value: 25
},
{
name: '文登',
value: 25
},
{
name: '上海',
value: 25
},
{
name: '攀枝花',
value: 25
},
{
name: '威海',
value: 25
},
{
name: '承德',
value: 25
},
{
name: '厦门',
value: 26
},
{
name: '汕尾',
value: 26
},
{
name: '潮州',
value: 26
},
{
name: '丹东',
value: 27
},
{
name: '太仓',
value: 27
},
{
name: '曲靖',
value: 27
},
{
name: '烟台',
value: 28
},
{
name: '福州',
value: 29
},
{
name: '瓦房店',
value: 30
},
{
name: '即墨',
value: 30
},
{
name: '抚顺',
value: 31
},
{
name: '玉溪',
value: 31
},
{
name: '张家口',
value: 31
},
{
name: '阳泉',
value: 31
},
{
name: '莱州',
value: 32
},
{
name: '湖州',
value: 32
},
{
name: '汕头',
value: 32
},
{
name: '昆山',
value: 33
},
{
name: '宁波',
value: 33
},
{
name: '湛江',
value: 33
},
{
name: '揭阳',
value: 34
},
{
name: '荣成',
value: 34
},
{
name: '连云港',
value: 35
},
{
name: '葫芦岛',
value: 35
},
{
name: '常熟',
value: 36
},
{
name: '东莞',
value: 36
},
{
name: '河源',
value: 36
},
{
name: '淮安',
value: 36
},
{
name: '泰州',
value: 36
},
{
name: '南宁',
value: 37
},
{
name: '营口',
value: 37
},
{
name: '惠州',
value: 37
},
{
name: '江阴',
value: 37
},
{
name: '蓬莱',
value: 37
},
{
name: '韶关',
value: 38
},
{
name: '嘉峪关',
value: 38
},
{
name: '广州',
value: 38
},
{
name: '延安',
value: 38
},
{
name: '太原',
value: 39
},
{
name: '清远',
value: 39
},
{
name: '中山',
value: 39
},
{
name: '昆明',
value: 39
},
{
name: '寿光',
value: 40
},
{
name: '盘锦',
value: 40
},
{
name: '长治',
value: 41
},
{
name: '深圳',
value: 41
},
{
name: '珠海',
value: 42
},
{
name: '宿迁',
value: 43
},
{
name: '咸阳',
value: 43
},
{
name: '铜川',
value: 44
},
{
name: '平度',
value: 44
},
{
name: '佛山',
value: 44
},
{
name: '海口',
value: 44
},
{
name: '江门',
value: 45
},
{
name: '章丘',
value: 45
},
{
name: '肇庆',
value: 46
},
{
name: '大连',
value: 47
},
{
name: '临汾',
value: 47
},
{
name: '吴江',
value: 47
},
{
name: '石嘴山',
value: 49
},
{
name: '沈阳',
value: 50
},
{
name: '苏州',
value: 50
},
{
name: '茂名',
value: 50
},
{
name: '嘉兴',
value: 51
},
{
name: '长春',
value: 51
},
{
name: '胶州',
value: 52
},
{
name: '银川',
value: 52
},
{
name: '张家港',
value: 52
},
{
name: '三门峡',
value: 53
},
{
name: '锦州',
value: 54
},
{
name: '南昌',
value: 54
},
{
name: '柳州',
value: 54
},
{
name: '三亚',
value: 54
},
{
name: '自贡',
value: 56
},
{
name: '吉林',
value: 56
},
{
name: '阳江',
value: 57
},
{
name: '泸州',
value: 57
},
{
name: '西宁',
value: 57
},
{
name: '宜宾',
value: 58
},
{
name: '呼和浩特',
value: 58
},
{
name: '成都',
value: 58
},
{
name: '大同',
value: 58
},
{
name: '镇江',
value: 59
},
{
name: '桂林',
value: 59
},
{
name: '张家界',
value: 59
},
{
name: '宜兴',
value: 59
},
{
name: '北海',
value: 60
},
{
name: '西安',
value: 61
},
{
name: '金坛',
value: 62
},
{
name: '东营',
value: 62
},
{
name: '牡丹江',
value: 63
},
{
name: '遵义',
value: 63
},
{
name: '绍兴',
value: 63
},
{
name: '扬州',
value: 64
},
{
name: '常州',
value: 64
},
{
name: '潍坊',
value: 65
},
{
name: '重庆',
value: 66
},
{
name: '台州',
value: 67
},
{
name: '南京',
value: 67
},
{
name: '滨州',
value: 70
},
{
name: '贵阳',
value: 71
},
{
name: '无锡',
value: 71
},
{
name: '本溪',
value: 71
},
{
name: '克拉玛依',
value: 72
},
{
name: '渭南',
value: 72
},
{
name: '马鞍山',
value: 72
},
{
name: '宝鸡',
value: 72
},
{
name: '焦作',
value: 75
},
{
name: '句容',
value: 75
},
{
name: '北京',
value: 79
},
{
name: '徐州',
value: 79
},
{
name: '衡水',
value: 80
},
{
name: '包头',
value: 80
},
{
name: '绵阳',
value: 80
},
{
name: '乌鲁木齐',
value: 84
},
{
name: '枣庄',
value: 84
},
{
name: '杭州',
value: 84
},
{
name: '淄博',
value: 85
},
{
name: '鞍山',
value: 86
},
{
name: '溧阳',
value: 86
},
{
name: '库尔勒',
value: 86
},
{
name: '安阳',
value: 90
},
{
name: '开封',
value: 90
},
{
name: '济南',
value: 92
},
{
name: '德阳',
value: 93
},
{
name: '温州',
value: 95
},
{
name: '九江',
value: 96
},
{
name: '邯郸',
value: 98
},
{
name: '临安',
value: 99
},
{
name: '兰州',
value: 99
},
{
name: '沧州',
value: 100
},
{
name: '临沂',
value: 103
},
{
name: '南充',
value: 104
},
{
name: '天津',
value: 105
},
{
name: '富阳',
value: 106
},
{
name: '泰安',
value: 112
},
{
name: '诸暨',
value: 112
},
{
name: '郑州',
value: 113
},
{
name: '哈尔滨',
value: 114
},
{
name: '聊城',
value: 116
},
{
name: '芜湖',
value: 117
},
{
name: '唐山',
value: 119
},
{
name: '平顶山',
value: 119
},
{
name: '邢台',
value: 119
},
{
name: '德州',
value: 120
},
{
name: '济宁',
value: 120
},
{
name: '荆州',
value: 127
},
{
name: '宜昌',
value: 130
},
{
name: '义乌',
value: 132
},
{
name: '丽水',
value: 133
},
{
name: '洛阳',
value: 134
},
{
name: '秦皇岛',
value: 136
},
{
name: '株洲',
value: 143
},
{
name: '石家庄',
value: 147
},
{
name: '莱芜',
value: 148
},
{
name: '常德',
value: 152
},
{
name: '保定',
value: 153
},
{
name: '湘潭',
value: 154
},
{
name: '金华',
value: 157
},
{
name: '岳阳',
value: 169
},
{
name: '长沙',
value: 175
},
{
name: '衢州',
value: 177
},
{
name: '廊坊',
value: 193
},
{
name: '菏泽',
value: 194
},
{
name: '合肥',
value: 229
},
{
name: '武汉',
value: 273
},
{
name: '大庆',
value: 279
}
];
var geoCoordMap = {
'海门': [121.15, 31.89],
'鄂尔多斯': [109.781327, 39.608266],
'招远': [120.38, 37.35],
'舟山': [122.207216, 29.985295],
'齐齐哈尔': [123.97, 47.33],
'盐城': [120.13, 33.38],
'赤峰': [118.87, 42.28],
'青岛': [120.33, 36.07],
'乳山': [121.52, 36.89],
'金昌': [102.188043, 38.520089],
'泉州': [118.58, 24.93],
'莱西': [120.53, 36.86],
'日照': [119.46, 35.42],
'胶南': [119.97, 35.88],
'南通': [121.05, 32.08],
'拉萨': [91.11, 29.97],
'云浮': [112.02, 22.93],
'梅州': [116.1, 24.55],
'文登': [122.05, 37.2],
'上海': [121.48, 31.22],
'攀枝花': [101.718637, 26.582347],
'威海': [122.1, 37.5],
'承德': [117.93, 40.97],
'厦门': [118.1, 24.46],
'汕尾': [115.375279, 22.786211],
'潮州': [116.63, 23.68],
'丹东': [124.37, 40.13],
'太仓': [121.1, 31.45],
'曲靖': [103.79, 25.51],
'烟台': [121.39, 37.52],
'福州': [119.3, 26.08],
'瓦房店': [121.979603, 39.627114],
'即墨': [120.45, 36.38],
'抚顺': [123.97, 41.97],
'玉溪': [102.52, 24.35],
'张家口': [114.87, 40.82],
'阳泉': [113.57, 37.85],
'莱州': [119.942327, 37.177017],
'湖州': [120.1, 30.86],
'汕头': [116.69, 23.39],
'昆山': [120.95, 31.39],
'宁波': [121.56, 29.86],
'湛江': [110.359377, 21.270708],
'揭阳': [116.35, 23.55],
'荣成': [122.41, 37.16],
'连云港': [119.16, 34.59],
'葫芦岛': [120.836932, 40.711052],
'常熟': [120.74, 31.64],
'东莞': [113.75, 23.04],
'河源': [114.68, 23.73],
'淮安': [119.15, 33.5],
'泰州': [119.9, 32.49],
'南宁': [108.33, 22.84],
'营口': [122.18, 40.65],
'惠州': [114.4, 23.09],
'江阴': [120.26, 31.91],
'蓬莱': [120.75, 37.8],
'韶关': [113.62, 24.84],
'嘉峪关': [98.289152, 39.77313],
'广州': [113.23, 23.16],
'延安': [109.47, 36.6],
'太原': [112.53, 37.87],
'清远': [113.01, 23.7],
'中山': [113.38, 22.52],
'昆明': [102.73, 25.04],
'寿光': [118.73, 36.86],
'盘锦': [122.070714, 41.119997],
'长治': [113.08, 36.18],
'深圳': [114.07, 22.62],
'珠海': [113.52, 22.3],
'宿迁': [118.3, 33.96],
'咸阳': [108.72, 34.36],
'铜川': [109.11, 35.09],
'平度': [119.97, 36.77],
'佛山': [113.11, 23.05],
'海口': [110.35, 20.02],
'江门': [113.06, 22.61],
'章丘': [117.53, 36.72],
'肇庆': [112.44, 23.05],
'大连': [121.62, 38.92],
'临汾': [111.5, 36.08],
'吴江': [120.63, 31.16],
'石嘴山': [106.39, 39.04],
'沈阳': [123.38, 41.8],
'苏州': [120.62, 31.32],
'茂名': [110.88, 21.68],
'嘉兴': [120.76, 30.77],
'长春': [125.35, 43.88],
'胶州': [120.03336, 36.264622],
'银川': [106.27, 38.47],
'张家港': [120.555821, 31.875428],
'三门峡': [111.19, 34.76],
'锦州': [121.15, 41.13],
'南昌': [115.89, 28.68],
'柳州': [109.4, 24.33],
'三亚': [109.511909, 18.252847],
'自贡': [104.778442, 29.33903],
'吉林': [126.57, 43.87],
'阳江': [111.95, 21.85],
'泸州': [105.39, 28.91],
'西宁': [101.74, 36.56],
'宜宾': [104.56, 29.77],
'呼和浩特': [111.65, 40.82],
'成都': [104.06, 30.67],
'大同': [113.3, 40.12],
'镇江': [119.44, 32.2],
'桂林': [110.28, 25.29],
'张家界': [110.479191, 29.117096],
'宜兴': [119.82, 31.36],
'北海': [109.12, 21.49],
'西安': [108.95, 34.27],
'金坛': [119.56, 31.74],
'东营': [118.49, 37.46],
'牡丹江': [129.58, 44.6],
'遵义': [106.9, 27.7],
'绍兴': [120.58, 30.01],
'扬州': [119.42, 32.39],
'常州': [119.95, 31.79],
'潍坊': [119.1, 36.62],
'重庆': [106.54, 29.59],
'台州': [121.420757, 28.656386],
'南京': [118.78, 32.04],
'滨州': [118.03, 37.36],
'贵阳': [106.71, 26.57],
'无锡': [120.29, 31.59],
'本溪': [123.73, 41.3],
'克拉玛依': [84.77, 45.59],
'渭南': [109.5, 34.52],
'马鞍山': [118.48, 31.56],
'宝鸡': [107.15, 34.38],
'焦作': [113.21, 35.24],
'句容': [119.16, 31.95],
'北京': [116.46, 39.92],
'徐州': [117.2, 34.26],
'衡水': [115.72, 37.72],
'包头': [110, 40.58],
'绵阳': [104.73, 31.48],
'乌鲁木齐': [87.68, 43.77],
'枣庄': [117.57, 34.86],
'杭州': [120.19, 30.26],
'淄博': [118.05, 36.78],
'鞍山': [122.85, 41.12],
'溧阳': [119.48, 31.43],
'库尔勒': [86.06, 41.68],
'安阳': [114.35, 36.1],
'开封': [114.35, 34.79],
'济南': [117, 36.65],
'德阳': [104.37, 31.13],
'温州': [120.65, 28.01],
'九江': [115.97, 29.71],
'邯郸': [114.47, 36.6],
'临安': [119.72, 30.23],
'兰州': [103.73, 36.03],
'沧州': [116.83, 38.33],
'临沂': [118.35, 35.05],
'南充': [106.110698, 30.837793],
'天津': [117.2, 39.13],
'富阳': [119.95, 30.07],
'泰安': [117.13, 36.18],
'诸暨': [120.23, 29.71],
'郑州': [113.65, 34.76],
'哈尔滨': [126.63, 45.75],
'聊城': [115.97, 36.45],
'芜湖': [118.38, 31.33],
'唐山': [118.02, 39.63],
'平顶山': [113.29, 33.75],
'邢台': [114.48, 37.05],
'德州': [116.29, 37.45],
'济宁': [116.59, 35.38],
'荆州': [112.239741, 30.335165],
'宜昌': [111.3, 30.7],
'义乌': [120.06, 29.32],
'丽水': [119.92, 28.45],
'洛阳': [112.44, 34.7],
'秦皇岛': [119.57, 39.95],
'株洲': [113.16, 27.83],
'石家庄': [114.48, 38.03],
'莱芜': [117.67, 36.19],
'常德': [111.69, 29.05],
'保定': [115.48, 38.85],
'湘潭': [112.91, 27.87],
'金华': [119.64, 29.12],
'岳阳': [113.09, 29.37],
'长沙': [113, 28.21],
'衢州': [118.88, 28.97],
'廊坊': [116.7, 39.53],
'菏泽': [115.480656, 35.23375],
'合肥': [117.27, 31.86],
'武汉': [114.31, 30.52],
'大庆': [125.03, 46.58]
};
var convertData = function(data) {
var res = [];
for (var i = 0; i < data.length; i++) {
var geoCoord = geoCoordMap[data[i].name];
if (geoCoord) {
res.push({
name: data[i].name,
value: geoCoord.concat(data[i].value)
});
}
}
return res;
};
function renderItem(params, api) {
var coords = [
[116.7, 39.53],
[103.73, 36.03],
[112.91, 27.87],
[120.65, 28.01],
[119.57, 39.95]
];
var points = [];
for (var i = 0; i < coords.length; i++) {
points.push(api.coord(coords[i]));
}
var color = api.visual('color');
return {
type: 'polygon',
shape: {
points: echarts.graphic.clipPointsByRect(points, {
x: params.coordSys.x,
y: params.coordSys.y,
width: params.coordSys.width,
height: params.coordSys.height
})
},
style: api.style({
fill: color,
stroke: echarts.color.lift(color)
})
};
}
myChart.setOption({
// backgroundColor: '#404a59',
title: {
text: '全国主要城市空气质量',
subtext: 'data from PM25.in',
sublink: 'http://www.pm25.in',
left: 'center',
textStyle: {
color: '#fff'
}
},
tooltip: {
trigger: 'item'
},
bmap: {
center: [104.114129, 37.550339],
zoom: 5,
roam: true,
mapStyle: {
styleJson: [{
"featureType": "water",
"elementType": "all",
"stylers": {
"color": "#044161"
}
},
{
"featureType": "land",
"elementType": "all",
"stylers": {
"color": "#004981"
}
},
{
"featureType": "boundary",
"elementType": "geometry",
"stylers": {
"color": "#064f85"
}
},
{
"featureType": "railway",
"elementType": "all",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "highway",
"elementType": "geometry",
"stylers": {
"color": "#004981"
}
},
{
"featureType": "highway",
"elementType": "geometry.fill",
"stylers": {
"color": "#005b96",
"lightness": 1
}
},
{
"featureType": "highway",
"elementType": "labels",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "arterial",
"elementType": "geometry",
"stylers": {
"color": "#004981"
}
},
{
"featureType": "arterial",
"elementType": "geometry.fill",
"stylers": {
"color": "#00508b"
}
},
{
"featureType": "poi",
"elementType": "all",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "green",
"elementType": "all",
"stylers": {
"color": "#056197",
"visibility": "off"
}
},
{
"featureType": "subway",
"elementType": "all",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "manmade",
"elementType": "all",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "local",
"elementType": "all",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "arterial",
"elementType": "labels",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "boundary",
"elementType": "geometry.fill",
"stylers": {
"color": "#029fd4"
}
},
{
"featureType": "building",
"elementType": "all",
"stylers": {
"color": "#1a5787"
}
},
{
"featureType": "label",
"elementType": "all",
"stylers": {
"visibility": "off"
}
}
]
}
},
series: [{
name: 'lines',
type: 'lines',
coordinateSystem: 'bmap',
data: [{
name: 'test',
coords: [
[91.11, 29.97],
[125.03, 46.58]
]
}],
lineStyle: {
normal: {
color: '#ffff8d'
}
}
},
{
id: 'scatter',
name: 'pm2.5',
type: 'scatter',
coordinateSystem: 'bmap',
data: [], //convertData(data),
symbolSize: function(val) {
return val[2] / 10;
},
label: {
normal: {
formatter: '{b}',
position: 'right',
show: false
},
emphasis: {
show: true
}
},
itemStyle: {
normal: {
color: '#ddb926'
}
}
},
{
name: 'Top 5',
type: 'effectScatter',
coordinateSystem: 'bmap',
data: convertData(data.sort(function(a, b) {
return b.value - a.value;
}).slice(0, 6)),
symbolSize: function(val) {
return val[2] / 10;
},
showEffectOn: 'emphasis',
rippleEffect: {
brushType: 'stroke'
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'right',
show: true
}
},
itemStyle: {
normal: {
color: '#f4e925',
shadowBlur: 10,
shadowColor: '#333'
}
},
zlevel: 1
},
{
type: 'custom',
coordinateSystem: 'bmap',
renderItem: renderItem,
itemStyle: {
normal: {
opacity: 0.5
}
},
animation: false,
silent: true,
data: [0],
z: -10
}
]
});
myChart.setOption({
series: [{
id: 'scatter',
name: 'pm2.5',
data: convertData(data)
}]
});
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