echartsx轴显⽰部分值_echartsx轴数据显⽰问题
可以的哦。
app.title = '⽓泡图';
var data = [
[[28604,77,17096869,'Australia',1990],[31163,77.4,27662440,'Canada',1990],[1516,68,1154605773,'China',1990], [13670,74.7,10582082,'Cuba',1990],[28599,75,4986705,'Finland',1990],[29476,77.1,56943299,'France',1990], [31476,75.4,78958237,'Germany',1990],[28666,78.1,254830,'Iceland',1990],[1777,57.7,870601776,'India',1990], [29550,79.1,122249285,'Japan',1990],[2076,67.9,20194354,'North Korea',1990],[12087,72,42972254,'South
Korea',1990],[24021,75.4,3397534,'New Zealand',1990],[43296,76.8,4240375,'Norway',1990],
shadow什么意思啊[10088,70.8,38195258,'Poland',1990],[19349,69.6,147568552,'Russia',1990],[10670,67.3,53994605,'Turkey',1990], [26424,75.7,57110117,'United Kingdom',1990],[37062,75.4,252847810,'United States',1990]],
[[44056,81.8,23968973,'Australia',2015],[43294,81.7,35939927,'Canada',2015],
[13334,76.9,1376048943,'China',2015],[21291,78.5,11389562,'Cuba',2015],[38923,80.8,5503457,'Finland',2015], [37599,81.9,64395345,'France',2015],[44053,81.1,80688545,'Germany',2015],[42182,82.8,329425,'Iceland',2015], [5903,66.8,1311050527,'India',2015],[36162,83.5,126573481,'Japan',2015],[1390,71.4,25155317,'North Korea',2015], [34644,80.7,50293439,'South Korea',2015],[34186,80.6,4528526,'New Zealand',2015],
[64304,81.6,5210967,'Norway',2015],[24787,77.3,38611794,'Poland',2015],[23038,73.13,143456918,'Russia',2015], [19360,76.5,78665830,'Turkey',2015],[38225,81.4,64715810,'United Kingdom',2015],[53354,79.1,321773631,'United States',2015]]
];
option = {
backgroundColor: aphic.RadialGradient(0.3, 0.3, 0.8, [{
offset: 0,
color: '#f7f8fa'
}, {
offset: 1,
color: '#cdd0d5'
}]),
title: {
text: '1990 与 2015 年各国家⼈均寿命与 GDP'
},
legend: {
right: 10,
data: ['1990', '2015']
},
xAxis: {
splitLine: {
lineStyle: {
type: 'dashed'
}
}
},
yAxis: {
splitLine: {
lineStyle: {
type: 'dashed'
}
},
scale: true
},
series: [{
name: '1990',
data: data[0],
type: 'scatter',
symbolSize: function (data) {
return Math.sqrt(data[2]) / 5e2;
},
label: {
normal: {
show: true,
formatter: function (param) {
return param.data[3];
},
position: 'bottom'
},
},
itemStyle: {
normal: {
shadowBlur: 10,
shadowColor: 'rgba(120, 36, 50, 0.5)', shadowOffsetY: 5,
color: aphic.RadialGradient(0.4, 0.3, 1, [{ offset: 0,
color: 'rgb(251, 118, 123)'
}, {
offset: 1,
color: 'rgb(204, 46, 72)'
}])
}
}
}, {
name: '2015',
data: data[1],
type: 'scatter',
symbolSize: function (data) {
return Math.sqrt(data[2]) / 5e2;
},
label: {
normal: {
show:true,
formatter: function (param) {
return param.data[3];
},
position: 'bottom'
}
},
itemStyle: {
normal: {
shadowBlur: 10,
shadowColor: 'rgba(25, 100, 150, 0.5)', shadowOffsetY: 5,
color: aphic.RadialGradient(0.4, 0.3, 1, [{ offset: 0,
color: 'rgb(129, 227, 238)'
}, {
offset: 1,
color: 'rgb(25, 183, 207)'
}])
}
}
}]
};
echarts⾥⾯的itemStyle(图形样式)参数分有 normal 和 emphasis 两个状态。normal 是图形在默认状态下的样式；emphasis 是图形在⾼亮状态下的样式。
你说的x轴数据更改了显⽰不出来的问题嘛，你要看看⾃⼰的数据有没有搞错哟。
![图⽚上传中...]
根据⾃⼰的数据去做相应的调整，应该是没有问题的哈。
我主要是没有很明⽩你的那张设计图的意思，横纵坐标分别对应的啥⼦呢。你现在的意思是再加个时间轴嘛。
我按照之前的例⼦再写了⼀下。我的意思是以⽉份为横坐标，纵坐标随便，然后以年份为时间轴，就相同于统计了每年不同⽉份的不同名称的上升下降情况。代码中的[1,89.5,30,'北京',"上升"]，第⼀个表⽰⽉份x，第⼆个随便写的y值，第三个为圆圈的⼤⼩，第四个值为上升还是下降。把2010-2015年的数据都放到⼀个对象⾥⾯，通过对象的属性名去获取相应年份的数据。
⽰例代码
var dataMap = {
2010:[[[1,89.5,30,'北京',"上升"],[2,77.5,30,'天⽓',"上升"]],[[2,81.5,20,'北京',"下降"],[1,80.5,20,'天⽓',"下降"]]], 2011:[[[2,90,30,'北京',"上升"],[1,77.6,30,'天⽓',"上升"]],[[1,81.3,20,'北京',"下降"],[2,80.3,20,'天⽓',"下降"]]], 2012:[[[1,89,30,'北京',"上升"],[2,77.7,30,'天⽓',"上升"]],[[1,81.2,20,'北京',"下降"],[2,80.6,20,'天⽓',"下降"]]], 2013:[[[1,88.9,30,'北京',"上升"],[2,77.6,30,'天⽓',"上升"]],[[2,81.6,20,'北京',"下降"],[1,80.4,20,'天⽓',"下降"]]], 2014:[[[1,89.8,30,'北京',"上升"],[2,77.4,30,'天⽓',"上升"]],[[1,81.3,20,'北京',"下降"],[2,80.3,20,'天⽓',"下降"]]], 2015:[[[1,89.1,30,'北京',"上升"],[2,77.3,30,'天⽓',"上升"]],[[2,81.5,20,'北京',"下降"],[1,80.5,20,'天⽓',"下降"]]] };
option = {
baseOption: {
timeline: {
axisType: 'time',
autoPlay: true,
playInterval: 1000,
data: ['2010', '2011', '2012', '2013', '2014', '2015'],
label: {
formatter : function(s) {
return (new Date(s)).getFullYear();
}
}
},
title: {
subtext: '数据来⾃国家统计局'
},
legend: {
right: 10,
data: ['上升', '下降']
},
xAxis: {
splitLine: {
lineStyle: {
type: 'dashed'
}
}
},
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