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option = {
title: {
text: '消防训练量化评分雷达图'
},
tooltip: {
trigger: 'axis',
formatter: function(params, ticket, callback) {
var showHtm = "";
for (var i = 0; i < params.length; i++) {
//x轴名称
var name = params[i][1];
//名称
var text = params[i][3];
//值
var value = params[i][2];
//提示框显示
showHtm += name + '：' + value + '<br>'
}
return text + '<br>' + showHtm;
}
},
legend: {
x: 'center',
y: 'bottom',
data: ['60米肩梯量化评分', '3000米量化评分', '5000米负重量化评分', '100米负重量化评分', '负重折返跑量化评分', '爬绳上四楼量化评分',
'400米物资疏散量化评分', '负重上10楼量化评分', '单杠卷腹量化评分', '双杠曲臂伸量化评分', '单杠引体向上量化评分'
]
},
polar: [{
indicator: [{
text: '孙悟空',
max: 100
},
{
text: '猪悟能',
max: 100
},
{
text: '沙悟净',
max: 100
},
{
text: '唐三藏',
max: 100
},
{
text: '红孩儿',
max: 100
},
{
text: '牛魔王',
max: 100
}
],
radius: '80%',
startAngle: 120
}],
series: [{
name: '总点击量',
type: 'radar',
data: [{
value: [],
name: '',
itemStyle: {
normal: {
label: {
show: true,
formatter: function(params) {
return params.value;
}
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value: [],
name: '',
itemStyle: {
normal: {
label: {
show: true,
formatter: function(params) {
return params.value;
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}
}
},
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value: [],
name: '',
itemStyle: {
normal: {
label: {
show: true,
formatter: function(params) {
return params.value;
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name: '',
itemStyle: {
normal: {
label: {
show: true,
formatter: function(params) {
return params.value;
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value: [],
name: '',
itemStyle: {
normal: {
label: {
show: true,
formatter: function(params) {
return params.value;
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name: '',
itemStyle: {
normal: {
label: {
show: true,
formatter: function(params) {
return params.value;
}
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},
{
value: [],
name: '',
itemStyle: {
normal: {
label: {
show: true,
formatter: function(params) {
return params.value;
}
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}
},
{
value: [],
name: '',
itemStyle: {
normal: {
label: {
show: true,
formatter: function(params) {
return params.value;
}
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}
}
},
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value: [],
name: '',
itemStyle: {
normal: {
label: {
show: true,
formatter: function(params) {
return params.value;
}
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}
}
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value: [],
name: '',
itemStyle: {
normal: {
label: {
show: true,
formatter: function(params) {
return params.value;
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name: '',
itemStyle: {
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};
option.series[0].data[0].value = [12, 32, 34, 53, 53, 65];
option.series[0].data[0].name = '60米肩梯量化评分';
option.series[0].data[1].value = [78, 98, 90, 94, 98, 37];
option.series[0].data[1].name = '3000米量化评分';
option.series[0].data[2].value = [70, 90, 80, 59, 63, 25];
option.series[0].data[2].name = '5000米负重量化评分';
option.series[0].data[3].value = [78, 98, 90, 94, 98, 37];
option.series[0].data[3].name = '100米负重量化评分';
option.series[0].data[4].value = [68, 88, 80, 84, 88, 47];
option.series[0].data[4].name = '负重折返跑量化评分';
option.series[0].data[5].value = [58, 58, 50, 74, 78, 67];
option.series[0].data[5].name = '爬绳上四楼量化评分';
option.series[0].data[6].value = [48, 48, 40, 44, 48, 47];
option.series[0].data[6].name = '400米物资疏散量化评分';
option.series[0].data[7].value = [68, 68, 60, 64, 68, 67];
option.series[0].data[7].name = '负重上10楼量化评分';
option.series[0].data[8].value = [38, 38, 30, 34, 38, 37];
option.series[0].data[8].name = '单杠卷腹量化评分';
option.series[0].data[9].value = [18, 18, 10, 14, 18, 17];
option.series[0].data[9].name = '双杠曲臂伸量化评分';
option.series[0].data[10].value = [58, 58, 50, 54, 58, 57];
option.series[0].data[10].name = '单杠引体向上量化评分';