配置项如下
var data = [{
name: '成都',
value1: 59.86,
value2: 42.65,
value3: 76,
value4: 41.52,
value5: 15.72,
value6: 37.16
}, {
name: '福州',
value1: 55.90,
value2: 43.69,
value3: 65.08,
value4: 59.59,
value5: 9.77,
value6: 41.19
}, {
name: '广州',
value1: 33.71,
value2: 25.37,
value3: 42.80,
value4: 59.94,
value5: 10,
value6: 37.72
}, {
name: '杭州',
value1: 64.97,
value2: 68.07,
value3: 61.20,
value4: 62.38,
value5: 41.47,
value6: 49.90
}, {
name: '南昌',
value1: 56.12,
value2: 22.22,
value3: 60,
value4: 43.06,
value5: 15.15,
value6: 54.82
}, {
name: '南京',
value1: 49.56,
value2: 37.08,
value3: 60.33,
value4: 83.76,
value5: 2.73,
value6: 44.45
}, {
name: '青岛',
value1: 62.06,
value2: 38.82,
value3: 56.29,
value4: 40.06,
value5: 6.27,
value6: 52.34
}, {
name: '厦门',
value1: 46.29,
value2: 48.71,
value3: 63.15,
value4: 37.13,
value5: 9,
value6: 39.43
}, {
name: '深圳',
value1: 65.21,
value2: 30.70,
value3: 45.20,
value4: 29.64,
value5: 11.72,
value6: 33.61
}, {
name: '无锡',
value1: 52.73,
value2: 38.06,
value3: 48.80,
value4: 21.50,
value5: 1.27,
value6: 47.49
}, {
name: '珠海',
value1: 52.08,
value2: 29.69,
value3: 54.67,
value4: 56.21,
value5: 35.16,
value6: 35.15
}];
var resultdata0 = [];
var resultdata1 = [];
var resultdata2 = [];
var resultdata3 = [];
var resultdata4 = [];
var resultdata5 = [];
var resultdata6 = [];
var sum0 = 0;
var sum1 = 0;
var sum2 = 0;
var sum3 = 0;
var sum4 = 0;
var sum5 = 0;
var sum6 = 0;
var titledata = [];
for (var i = 0; i < data.length; i++) {
var d0 = {
name: data[i].name,
value: data[i].value1 + data[i].value2
};
var d1 = {
name: data[i].name,
value: data[i].value1
};
var d2 = {
name: data[i].name,
value: data[i].value2
};
var d3 = {
name: data[i].name,
value: data[i].value3
};
var d4 = {
name: data[i].name,
value: data[i].value4
};
var d5 = {
name: data[i].name,
value: data[i].value5
};
var d6 = {
name: data[i].name,
value: data[i].value6
};
titledata.push(data[i].name)
resultdata0.push(d0);
resultdata1.push(d1);
resultdata2.push(d2);
resultdata3.push(d3);
resultdata4.push(d4);
resultdata5.push(d5);
resultdata6.push(d6);
sum1 += data[i].value1;
sum2 += data[i].value2;
sum3 += data[i].value3;
sum4 += data[i].value4;
sum5 += data[i].value5;
sum6 += data[i].value6;
sum0 += sum1 + sum2 + sum3 + sum4 + sum5 + sum6;
}
function NumDescSort(a, b) {
return a.value - b.value;
}
resultdata0.sort(NumDescSort);
resultdata1.sort(NumDescSort);
resultdata2.sort(NumDescSort);
resultdata3.sort(NumDescSort);
resultdata4.sort(NumDescSort);
resultdata5.sort(NumDescSort);
resultdata6.sort(NumDescSort);
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;
};
//传统业务 收入盈利 团队 现金流管理 业务均衡 用户生态
option = {
title: [{
text: 'TOP11城市维度排名',
left: 'center'
}],
color:['red', '#61a0a8', '#d48265', '#91c7ae','#749f83', '#ca8622', '#bda29a','#6e7074', '#546570', '#c4ccd3'],
geo: {
map: 'china',
top: 100,
bottom: "24%",
zoom: 0.90,
center: [117.98561551896913, 31.205000490896193],
label: {
emphasis: {
show: false
}
},
roam: true,
itemStyle: {
normal: {
areaColor: '#036880',
borderColor: '#111'
},
emphasis: {
areaColor: '#2a333d'
}
}
},
tooltip: {
trigger: 'item'
},
legend: {
orient: 'vertical',
left: 'left',
data: ['传统业务', '收入盈利', '团队', '现金流管理', '业务均衡', '用户生态'],
selectedMode: 'single',
},
visualMap: {
min: 0,
max: 100,
left: 'left',
top: 'bottom',
text: ['高', '低'],
calculable: true,
colorLightness: [0.2, 100],
color: ['#c05050', '#e5cf0d', '#5ab1ef'],
dimension: 0
},
toolbox: {
show: true,
orient: 'vertical',
left: 'right',
top: 'center',
feature: {
dataView: {
readOnly: false
},
restore: {},
saveAsImage: {}
}
},
grid: {
right: 40,
top: 40,
bottom: 40,
width: '28%'
},
xAxis: [{
position: 'top',
type: 'value',
boundaryGap: false,
splitLine: {
show: false
},
axisLine: {
show: false
},
axisTick: {
show: false
},
}],
yAxis: [{
type: 'category',
data: [],
axisTick: {
alignWithLabel: true
}
}],
series: [{
z: 0,
name: '传统业务',
type: 'effectScatter',
legendHoverLink: true,
coordinateSystem: 'geo',
data: convertData(resultdata1),
symbolSize: function(val) {
return Math.max(val[2] / 3, 0);
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'left',
textStyle: {
color: '#43a6bf',
fontSize: 15
},
show: true
},
emphasis: {
formatter: '{b}',
show: true
}
},
tooltip: {
formatter: function(v) {
return "得分:" + v.data.value[2];
}
},
itemStyle: {
normal: {
color: '#5dde2b',
shadowBlur: 50,
shadowColor: '#43a6bf'
}
},
zlevel: 1
}, {
type: 'effectScatter',
name: '收入盈利',
z: 1,
legendHoverLink: true,
coordinateSystem: 'geo',
data: convertData(resultdata2),
symbolSize: function(val) {
return Math.max(val[2] / 3, 0);
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
tooltip: {
formatter: function(v) {
return "得分:" + v.data.value[2];
}
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'left',
textStyle: {
color: '#43a6bf',
fontSize: 15
},
show: true
},
emphasis: {
formatter: '{b}',
show: true
}
},
itemStyle: {
normal: {
color: '#5dde2b',
shadowBlur: 50,
shadowColor: '#43a6bf'
}
},
zlevel: 1
}, {
type: 'effectScatter',
z: 1,
name: '团队',
legendHoverLink: true,
coordinateSystem: 'geo',
data: convertData(resultdata3),
symbolSize: function(val) {
return Math.max(val[2] / 3, 0);
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
tooltip: {
formatter: function(v) {
return "得分:" + v.data.value[2];
}
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'left',
textStyle: {
color: '#43a6bf',
fontSize: 15
},
show: true
},
emphasis: {
formatter: '{b}',
show: true
}
},
itemStyle: {
normal: {
color: '#5dde2b',
shadowBlur: 50,
shadowColor: '#43a6bf'
}
},
zlevel: 1
}, {
type: 'effectScatter',
legendHoverLink: true,
name: '现金流管理',
z: 1,
tooltip: {
formatter: function(v) {
return "得分:" + v.data.value[2];
}
},
coordinateSystem: 'geo',
data: convertData(resultdata4),
symbolSize: function(val) {
return Math.max(val[2] / 3, 0);
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'left',
textStyle: {
color: '#43a6bf',
fontSize: 15
},
show: true
},
emphasis: {
formatter: '{b}',
show: true
}
},
itemStyle: {
normal: {
color: '#5dde2b',
shadowBlur: 50,
shadowColor: '#43a6bf'
}
},
zlevel: 1
}, {
type: 'effectScatter',
legendHoverLink: true,
z: 1,
tooltip: {
formatter: function(v) {
return "得分:" + v.data.value[2];
}
},
name: '业务均衡',
coordinateSystem: 'geo',
data: convertData(resultdata5),
symbolSize: function(val) {
return Math.max(val[2] / 3, 0);
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'left',
textStyle: {
color: '#43a6bf',
fontSize: 15
},
show: true
},
emphasis: {
formatter: '{b}',
show: true
}
},
itemStyle: {
normal: {
color: '#5dde2b',
shadowBlur: 50,
shadowColor: '#43a6bf'
}
},
zlevel: 1
}, {
type: 'effectScatter',
legendHoverLink: true,
z: 1,
name: '用户生态',
coordinateSystem: 'geo',
data: convertData(resultdata6),
symbolSize: function(val) {
return Math.max(val[2] / 3, 0);
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
tooltip: {
formatter: function(v) {
return "得分:" + v.data.value[2];
}
},
hoverAnimation: true,
label: {
normal: {
formatter: '{b}',
position: 'left',
textStyle: {
color: '#43a6bf',
fontSize: 15
},
show: true
},
emphasis: {
formatter: '{b}',
show: true
}
},
itemStyle: {
normal: {
color: '#5dde2b',
shadowBlur: 50,
shadowColor: '#43a6bf'
}
},
zlevel: 1
}
, {
name: '传统业务',
z: 2,
type: 'bar',
label: {
normal: {
show: true,
formatter: '{b} {c}',
position: [-40, 9],
textStyle: {
color: "#0e2406",
fontSize: 16
}
},
emphasis: {
show: true
}
},
symbol: 'none',
itemStyle: {
emphasis: {
color: "#43a6bf"
}
},
data: resultdata1
}, {
name: '收入盈利',
z: 2,
type: 'bar',
label: {
normal: {
show: true,
formatter: '{b} {c}',
position: [-40, 9],
textStyle: {
color: "#0e2406",
fontSize: 16
}
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
data: resultdata2
}, {
name: '团队',
z: 2,
type: 'bar',
label: {
normal: {
show: true,
formatter: '{b} {c}',
position: [-40, 9],
textStyle: {
color: "#0e2406",
fontSize: 16
}
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
data: resultdata3
}, {
name: '现金流管理',
z: 2,
type: 'bar',
label: {
normal: {
show: true,
formatter: '{b} {c}',
position: [-40, 9],
textStyle: {
color: "#0e2406",
fontSize: 16
}
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
data: resultdata4
}, {
name: '业务均衡',
z: 2,
type: 'bar',
label: {
normal: {
show: true,
formatter: '{b} {c}',
position: [-40, 9],
textStyle: {
color: "#0e2406",
fontSize: 16
}
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
data: resultdata5
}, {
name: '用户生态',
z: 2,
type: 'bar',
label: {
normal: {
show: true,
formatter: '{b} {c}',
position: [-40, 9],
textStyle: {
color: "#0e2406",
fontSize: 16
}
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
data: resultdata6
},
//'团队','现金流管理','业务均衡','用户生态'
{
name: '传统业务',
z: 2,
type: 'pie',
radius: ['17%', '25%'],
center: ['30%', '82.5%'],
label: {
normal: {
show: true
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
data: resultdata1
}, {
name: '收入盈利',
z: 2,
type: 'pie',
radius: ['17%', '25%'],
center: ['30%', '82.5%'],
label: {
normal: {
show: true
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
data: resultdata2
}, {
name: '团队',
z: 2,
type: 'pie',
radius: ['17%', '25%'],
center: ['30%', '82.5%'],
label: {
normal: {
show: true
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
data: resultdata3
}, {
name: '现金流管理',
z: 2,
type: 'pie',
radius: ['17%', '25%'],
center: ['30%', '82.5%'],
label: {
normal: {
show: true
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
data: resultdata4
}, {
name: '业务均衡',
z: 2,
type: 'pie',
radius: ['17%', '25%'],
center: ['30%', '82.5%'],
label: {
normal: {
show: true
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
//'团队','现金流管理','业务均衡','用户生态'
data: resultdata5
}, {
name: '用户生态',
z: 2,
type: 'pie',
radius: ['17%', '25%'],
center: ['30%', '82.5%'],
label: {
normal: {
show: true
},
emphasis: {
show: true
}
},
itemStyle: {
emphasis: {
color: "rgb(254,153,78)"
}
},
data: resultdata6
}
]
};