ECharts组件的定位和布局
定位方式
大部分『组件』和『系列』会遵循两种定位方式：
left/right/top/bottom/width/height 定位方式：
这六个量中，每个量都可以是『绝对值』或者『百分比』或者『位置描述』。
-
绝对值
单位是浏览器像素（px），用 number 形式书写（不写单位）。例如 {left: 23, height: 400}。 -
百分比
表示占 DOM 容器高宽的百分之多少，用 string 形式书写。例如 {right: ‘30%’, bottom: ‘40%’}。 -
位置描述
-
可以设置 left: ‘center’，表示水平居中。
-
可以设置 top: ‘middle’，表示垂直居中。
-
这六个量的概念，和 CSS 中六个量的概念类似：
-
left：距离 DOM 容器左边界的距离。
-
right：距离 DOM 容器右边界的距离。
-
top：距离 DOM 容器上边界的距离。
-
bottom：距离 DOM 容器下边界的距离。
-
width：宽度。
-
height：高度。
在横向，left、right、width 三个量中，只需两个量有值即可，因为任两个量可以决定组件的位置和大小，例如 left 和 right 或者 right 和 width 都可以决定组件的位置和大小。 纵向，top、bottom、height 三个量，和横向类同不赘述。
-
-
center / radius 定位方式：
-
center
是一个数组，表示 [x, y]，其中，x、y可以是『绝对值』或者『百分比』，含义和前述相同。 -
radius
是一个数组，表示 [内半径, 外半径]，其中，内外半径可以是『绝对值』或者『百分比』，含义和前述相同。
-
在自适应容器大小时，百分比设置是很有用的。
横向（horizontal）和纵向（vertical）
ECharts的『外观狭长』型的组件（如 legend、visualMap、dataZoom、timeline等），大多提供了『横向布局』『纵向布局』的选择。例如，在细长的移动端屏幕上，可能适合使用『纵向布局』；在PC宽屏上，可能适合使用『横向布局』。
横纵向布局的设置，一般在『组件』或者『系列』的 orient 或者 layout 配置项上，设置为 ‘horizontal’ 或者 ‘vertical’。
Media Query
Media Query 提供了『随着容器尺寸改变而改变』的能力。
官网上的例子稍微有点复杂，第一眼看上去就直接劝退。
我觉得Media Query 就像是switch case 语句，
switch 图形比例{
case query{...}:
option:{.....}//匹配到对应的option设置后自动应用
},
case query{...}:
option:{.....}//匹配到对应的option设置后自动应用
},
{ // 这条里没有写规则，表示『默认』，
option: {......}// 即所有规则都不满足时，采纳这个option。
}
}
匹配到query 中的内容，就会执行对应的option的配置,当所有的query 都没有匹配到时，
要在 option 中设置 Media Query 须遵循如下格式：
option = {
baseOption: { // 这里是基本的『原子option』。
title: {...},
legend: {...},
series: [{...}, {...}, ...],
...
},
media: [ // 这里定义了 media query 的逐条规则。
{
query: {...}, // 这里写规则。
option: { // 这里写此规则满足下的option。
legend: {...},
...
}
},
{
query: {...}, // 第二个规则。
option: { // 第二个规则对应的option。
legend: {...},
...
}
},
{ // 这条里没有写规则，表示『默认』，
option: { // 即所有规则都不满足时，采纳这个option。
legend: {...},
...
}
}
]
};
query：
每个 query 类似于这样：
{
minWidth: 200,//最小宽度是200px，即大于等于200px
maxWidth:
minHeight:
maxHeight: 300,
minAspectRatio: 1.3
maxAspectRatio:
}
现在支持三个属性：width、height、aspectRatio（长宽比）。每个属性都可以加上 min 或 max 前缀。比如，minWidth: 200 表示『大于等于200px宽度』。两个属性一起写表示『并且』，比如：{minWidth: 200, maxHeight: 300} 表示『大于等于200px宽度，并且小于等于300px高度』。
option：
media中的 option 既然是『原子 option』，理论上可以写任何 option 的配置项。但是一般我们只写跟布局定位相关的，例如截取上面例子中的一部分 query option：
media: [
...,
{
query: {
maxAspectRatio: 1 // 当长宽比小于1时。
},
option: {
legend: { // legend 放在底部中间。
right: 'center',
bottom: 0,
orient: 'horizontal' // legend 横向布局。
},
series: [ // 两个饼图左右布局。
{
radius: [20, '50%'],
center: ['50%', '30%']
},
{
radius: [30, '50%'],
center: ['50%', '70%']
}
]
}
},
{
query: {
maxWidth: 500 // 当容器宽度小于 500 时。
},
option: {
legend: {
right: 10, // legend 放置在右侧中间。
top: '15%',
orient: 'vertical' // 纵向布局。
},
series: [ // 两个饼图上下布局。
{
radius: [20, '50%'],
center: ['50%', '30%']
},
{
radius: [30, '50%'],
center: ['50%', '75%']
}
]
}
},
...
]
多个 query 被满足时的优先级：
注意，可以有多个 query 同时被满足，会都被 mergeOption，定义在后的后被 merge（即优先级更高）。
默认 query：
如果 media 中有某项不写 query，则表示『默认值』，即所有规则都不满足时，采纳这个option。
容器大小实时变化时的注意事项：
在不少情况下，并不需要容器DOM节点任意随着拖拽变化大小，而是只是根据不同终端设置几个典型尺寸。
但是如果容器DOM节点需要能任意随着拖拽变化大小，那么目前使用时需要注意这件事：某个配置项，如果在某一个 query option 中出现，那么在其他 query option 中也必须出现，否则不能够回归到原来的状态。（left/right/top/bottom/width/height 不受这个限制。）
『复合 option』 中的 media 不支持 merge
也就是说，当第二（或三、四、五 …）次 chart.setOption(rawOption) 时，如果 rawOption 是 复合option（即包含 media 列表），那么新的 rawOption.media 列表不会和老的 media 列表进行 merge，而是简单替代。当然，rawOption.baseOption 仍然会正常和老的 option 进行merge。
其实，很少有场景需要使用『复合 option』来多次 setOption，而我们推荐的做法是，使用 mediaQuery 时，第一次setOption使用『复合 option』，后面 setOption 时仅使用 『原子 option』，也就是仅仅用 setOption 来改变 baseOption。
需要注意的是，要引入：
$.when(
$.getScript('https://www.runoob.com/static/js/draggable.js')
).done(function () {
draggable.init(
$('div[_echarts_instance_]')[0],
myChart,
{
width: 700,
height: 400,
throttle: 70
}
);
);
这样才会有可拉伸的DRAG，这个DRAG才是灵魂
简单的例子
当宽高之比>=2时，是如下图形：
宽高之比<2时，是如下图形：
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>ECharts 实例</title>
<script src="https://cdn.staticfile.org/jquery/2.2.4/jquery.min.js"></script>
<!-- 引入 echarts.js -->
<script src="https://cdn.staticfile.org/echarts/4.3.0/echarts.min.js"></script>
</head>
<body>
<!-- 为ECharts准备一个具备大小（宽高）的Dom -->
<div id="main" style="width: 600px;height:400px;"></div>
<script type="text/javascript">
// 基于准备好的dom，初始化echarts实例
var myChart = echarts.init(document.getElementById('main'));
$.when(
$.getScript('https://www.runoob.com/static/js/draggable.js')
).done(function () {
draggable.init(
$('div[_echarts_instance_]')[0],
myChart,
{
width: 700,
height: 400,
throttle: 70
}
);
myChart.hideLoading();
var option = {
baseOption: { // 这里是基本的『原子option』。
xAxis: {
type: 'category',
data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
},
yAxis: {
type: 'value'
},
series: [{
data: [120, 200, 150, 80, 70, 110, 130],
type: 'bar',
showBackground: true,
backgroundStyle: {
color: 'rgba(220, 220, 220, 0.8)'
}
}]
},
media: [ // 这里定义了 media query 的逐条规则。
{
query: {
minAspectRatio: 2
}, // 这里写规则。
option: { // 这里写此规则满足下的option。
series: [
{
data: [120, 200, 150, 80, 70, 110, 130],
},
],
}
},
{
option: {
series: [
{
data: [100,200,300,400,500,600,700],
},
],
}
},
]
};
myChart.setOption(option);
});
</script>
</body>
</html>
下面这是官网的例子
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>ECharts 实例</title>
<script src="https://cdn.staticfile.org/jquery/2.2.4/jquery.min.js"></script>
<!-- 引入 echarts.js -->
<script src="https://cdn.staticfile.org/echarts/4.3.0/echarts.min.js"></script>
</head>
<body>
<!-- 为ECharts准备一个具备大小（宽高）的Dom -->
<div id="main" style="width: 600px;height:400px;"></div>
<script type="text/javascript">
// 基于准备好的dom，初始化echarts实例
var myChart = echarts.init(document.getElementById('main'));
$.when(
$.getScript('https://www.runoob.com/static/js/timelineGDP.js'),
$.getScript('https://www.runoob.com/static/js/draggable.js')
).done(function () {
draggable.init(
$('div[_echarts_instance_]')[0],
myChart,
{
width: 700,
height: 400,
throttle: 70
}
);
myChart.hideLoading();
option = {
baseOption: {
title : {
text: '南丁格尔玫瑰图',
subtext: '纯属虚构',
x:'center'
},
tooltip : {
trigger: 'item',
formatter: "{a} <br/>{b} : {c} ({d}%)"
},
legend: {
data:['rose1','rose2','rose3','rose4','rose5','rose6','rose7','rose8']
},
toolbox: {
show : true,
feature : {
mark : {show: true},
dataView : {show: true, readOnly: false},
magicType : {
show: true,
type: ['pie', 'funnel']
},
restore : {show: true},
saveAsImage : {show: true}
}
},
calculable : true,
series : [
{
name:'半径模式',
type:'pie',
roseType : 'radius',
label: {
normal: {
show: false
},
emphasis: {
show: true
}
},
lableLine: {
normal: {
show: false
},
emphasis: {
show: true
}
},
data:[
{value:10, name:'rose1'},
{value:5, name:'rose2'},
{value:15, name:'rose3'},
{value:25, name:'rose4'},
{value:20, name:'rose5'},
{value:35, name:'rose6'},
{value:30, name:'rose7'},
{value:40, name:'rose8'}
]
},
{
name:'面积模式',
type:'pie',
roseType : 'area',
data:[
{value:10, name:'rose1'},
{value:5, name:'rose2'},
{value:15, name:'rose3'},
{value:25, name:'rose4'},
{value:20, name:'rose5'},
{value:35, name:'rose6'},
{value:30, name:'rose7'},
{value:40, name:'rose8'}
]
}
]
},
media: [
{
option: {
legend: {
right: 'center',
bottom: 0,
orient: 'horizontal'
},
series: [
{
radius: [20, '50%'],
center: ['25%', '50%']
},
{
radius: [30, '50%'],
center: ['75%', '50%']
}
]
}
},
{
query: {
minAspectRatio: 1
},
option: {
legend: {
right: 'center',
bottom: 0,
orient: 'horizontal'
},
series: [
{
radius: [20, '50%'],
center: ['25%', '50%']
},
{
radius: [30, '50%'],
center: ['75%', '50%']
}
]
}
},
{
query: {
maxAspectRatio: 1
},
option: {
legend: {
right: 'center',
bottom: 0,
orient: 'horizontal'
},
series: [
{
radius: [20, '50%'],
center: ['50%', '30%']
},
{
radius: [30, '50%'],
center: ['50%', '70%']
}
]
}
},
{
query: {
maxWidth: 500
},
option: {
legend: {
right: 10,
top: '15%',
orient: 'vertical'
},
series: [
{
radius: [20, '50%'],
center: ['50%', '30%']
},
{
radius: [30, '50%'],
center: ['50%', '75%']
}
]
}
}
]
};
myChart.setOption(option);
});
</script>
</body>
</html>
与时间轴结合
因为timeline 稍显复杂，与Media Query都需要操作多个option，可能会有一些复杂，可以先了解timeline 的用法之后再来看这个例子。
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>ECharts</title>
<script src="jquery.min.js"></script>
<script src="echarts.min.js"></script>
</head>
<body>
<div id="main" style="width: 600px;height:400px;"></div>
<div id="output"></div>
<script type="text/javascript">
var myChart = echarts.init(document.getElementById('main'));
var dataMap = {};
//该函数的作用是将输入的obj格式化为自己想要的格式，方便后面设置数据
function dataFormatter(obj) {
//pList是一个数组
var pList = ['北京','天津','河北','山西','内蒙古','辽宁','吉林','黑龙江','上海','江苏','浙江','安徽','福建','江西','山东','河南','湖北','湖南','广东','广西','海南','重庆','四川','贵州','云南','西藏','陕西','甘肃','青海','宁夏','新疆'];
var temp;//temp也是一个数组
for (var year = 2002; year <= 2011; year++) {//一个for循环
var max = 0;
var sum = 0;
temp = obj[year];//obj是传入的数组，temp是obj中年份对应的数组
for (var i = 0, l = temp.length; i < l; i++) {
max = Math.max(max, temp[i]);//比较max和temp[i]两者大小，保大
sum += temp[i];//求和
obj[year][i] = {
name : pList[i],
value : temp[i]
}
}
obj[year + 'max'] = Math.floor(max / 100) * 100;//一年中的最大值
obj[year + 'sum'] = sum;//一年中的总和
}
return obj;//返回一个关联数组，数组的每一个键值对是一个系列的数据
}
dataMap.dataGDP = dataFormatter({
//max : 60000,
2011:[16251.93,11307.28,24515.76,11237.55,14359.88,22226.7,10568.83,12582,19195.69,49110.27,32318.85,15300.65,17560.18,11702.82,45361.85,26931.03,19632.26,19669.56,53210.28,11720.87,2522.66,10011.37,21026.68,5701.84,8893.12,605.83,12512.3,5020.37,1670.44,2102.21,6610.05],
2010:[14113.58,9224.46,20394.26,9200.86,11672,18457.27,8667.58,10368.6,17165.98,41425.48,27722.31,12359.33,14737.12,9451.26,39169.92,23092.36,15967.61,16037.96,46013.06,9569.85,2064.5,7925.58,17185.48,4602.16,7224.18,507.46,10123.48,4120.75,1350.43,1689.65,5437.47],
2009:[12153.03,7521.85,17235.48,7358.31,9740.25,15212.49,7278.75,8587,15046.45,34457.3,22990.35,10062.82,12236.53,7655.18,33896.65,19480.46,12961.1,13059.69,39482.56,7759.16,1654.21,6530.01,14151.28,3912.68,6169.75,441.36,8169.8,3387.56,1081.27,1353.31,4277.05],
2008:[11115,6719.01,16011.97,7315.4,8496.2,13668.58,6426.1,8314.37,14069.87,30981.98,21462.69,8851.66,10823.01,6971.05,30933.28,18018.53,11328.92,11555,36796.71,7021,1503.06,5793.66,12601.23,3561.56,5692.12,394.85,7314.58,3166.82,1018.62,1203.92,4183.21],
2007:[9846.81,5252.76,13607.32,6024.45,6423.18,11164.3,5284.69,7104,12494.01,26018.48,18753.73,7360.92,9248.53,5800.25,25776.91,15012.46,9333.4,9439.6,31777.01,5823.41,1254.17,4676.13,10562.39,2884.11,4772.52,341.43,5757.29,2703.98,797.35,919.11,3523.16],
2006:[8117.78,4462.74,11467.6,4878.61,4944.25,9304.52,4275.12,6211.8,10572.24,21742.05,15718.47,6112.5,7583.85,4820.53,21900.19,12362.79,7617.47,7688.67,26587.76,4746.16,1065.67,3907.23,8690.24,2338.98,3988.14,290.76,4743.61,2277.35,648.5,725.9,3045.26],
2005:[6969.52,3905.64,10012.11,4230.53,3905.03,8047.26,3620.27,5513.7,9247.66,18598.69,13417.68,5350.17,6554.69,4056.76,18366.87,10587.42,6590.19,6596.1,22557.37,3984.1,918.75,3467.72,7385.1,2005.42,3462.73,248.8,3933.72,1933.98,543.32,612.61,2604.19],
2004:[6033.21,3110.97,8477.63,3571.37,3041.07,6672,3122.01,4750.6,8072.83,15003.6,11648.7,4759.3,5763.35,3456.7,15021.84,8553.79,5633.24,5641.94,18864.62,3433.5,819.66,3034.58,6379.63,1677.8,3081.91,220.34,3175.58,1688.49,466.1,537.11,2209.09],
2003:[5007.21,2578.03,6921.29,2855.23,2388.38,6002.54,2662.08,4057.4,6694.23,12442.87,9705.02,3923.11,4983.67,2807.41,12078.15,6867.7,4757.45,4659.99,15844.64,2821.11,713.96,2555.72,5333.09,1426.34,2556.02,185.09,2587.72,1399.83,390.2,445.36,1886.35],
2002:[4315,2150.76,6018.28,2324.8,1940.94,5458.22,2348.54,3637.2,5741.03,10606.85,8003.67,3519.72,4467.55,2450.48,10275.5,6035.48,4212.82,4151.54,13502.42,2523.73,642.73,2232.86,4725.01,1243.43,2312.82,162.04,2253.39,1232.03,340.65,377.16,1612.6]
});
dataMap.dataPI = dataFormatter({
//max : 4000,
2011:[136.27,159.72,2905.73,641.42,1306.3,1915.57,1277.44,1701.5,124.94,3064.78,1583.04,2015.31,1612.24,1391.07,3973.85,3512.24,2569.3,2768.03,2665.2,2047.23,659.23,844.52,2983.51,726.22,1411.01,74.47,1220.9,678.75,155.08,184.14,1139.03],
2010:[124.36,145.58,2562.81,554.48,1095.28,1631.08,1050.15,1302.9,114.15,2540.1,1360.56,1729.02,1363.67,1206.98,3588.28,3258.09,2147,2325.5,2286.98,1675.06,539.83,685.38,2482.89,625.03,1108.38,68.72,988.45,599.28,134.92,159.29,1078.63],
2009:[118.29,128.85,2207.34,477.59,929.6,1414.9,980.57,1154.33,113.82,2261.86,1163.08,1495.45,1182.74,1098.66,3226.64,2769.05,1795.9,1969.69,2010.27,1458.49,462.19,606.8,2240.61,550.27,1067.6,63.88,789.64,497.05,107.4,127.25,759.74],
2008:[112.83,122.58,2034.59,313.58,907.95,1302.02,916.72,1088.94,111.8,2100.11,1095.96,1418.09,1158.17,1060.38,3002.65,2658.78,1780,1892.4,1973.05,1453.75,436.04,575.4,2216.15,539.19,1020.56,60.62,753.72,462.27,105.57,118.94,691.07],
2007:[101.26,110.19,1804.72,311.97,762.1,1133.42,783.8,915.38,101.84,1816.31,986.02,1200.18,1002.11,905.77,2509.14,2217.66,1378,1626.48,1695.57,1241.35,361.07,482.39,2032,446.38,837.35,54.89,592.63,387.55,83.41,97.89,628.72],
2006:[88.8,103.35,1461.81,276.77,634.94,939.43,672.76,750.14,93.81,1545.05,925.1,1011.03,865.98,786.14,2138.9,1916.74,1140.41,1272.2,1532.17,1032.47,323.48,386.38,1595.48,382.06,724.4,50.9,484.81,334,67.55,79.54,527.8],
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2004:[87.36,105.28,1370.43,276.3,522.8,798.43,568.69,605.79,83.45,1367.58,814.1,950.5,786.84,664.5,1778.45,1649.29,1020.09,1022.45,1248.59,817.88,278.76,428.05,1379.93,334.5,607.75,44.3,387.88,286.78,60.7,65.33,461.26],
2003:[84.11,89.91,1064.05,215.19,420.1,615.8,488.23,504.8,81.02,1162.45,717.85,749.4,692.94,560,1480.67,1198.7,798.35,886.47,1072.91,658.78,244.29,339.06,1128.61,298.69,494.6,40.7,302.66,237.91,48.47,55.63,412.9],
2002:[82.44,84.21,956.84,197.8,374.69,590.2,446.17,474.2,79.68,1110.44,685.2,783.66,664.78,535.98,1390,1288.36,707,847.25,1015.08,601.99,222.89,317.87,1047.95,281.1,463.44,39.75,282.21,215.51,47.31,52.95,305]
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2010:[3388.38,4840.23,10707.68,5234,6367.69,9976.82,4506.31,5025.15,7218.32,21753.93,14297.93,6436.62,7522.83,5122.88,21238.49,13226.38,7767.24,7343.19,23014.53,4511.68,571,4359.12,8672.18,1800.06,3223.49,163.92,5446.1,1984.97,744.63,827.91,2592.15],
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2008:[2626.41,3709.78,8701.34,4242.36,4376.19,7158.84,3097.12,4319.75,6085.84,16993.34,11567.42,4198.93,5318.44,3554.81,17571.98,10259.99,5082.07,5028.93,18502.2,3037.74,423.55,3057.78,5823.39,1370.03,2452.75,115.56,3861.12,1470.34,557.12,609.98,2070.76],
2007:[2509.4,2892.53,7201.88,3454.49,3193.67,5544.14,2475.45,3695.58,5571.06,14471.26,10154.25,3370.96,4476.42,2975.53,14647.53,8282.83,4143.06,3977.72,16004.61,2425.29,364.26,2368.53,4648.79,1124.79,2038.39,98.48,2986.46,1279.32,419.03,455.04,1647.55],
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2005:[2026.51,2135.07,5271.57,2357.04,1773.21,3869.4,1580.83,2971.68,4381.2,10524.96,7164.75,2245.9,3175.92,1917.47,10478.62,5514.14,2852.12,2612.57,11356.6,1510.68,240.83,1564,3067.23,821.16,1426.42,63.52,1951.36,838.56,264.61,281.05,1164.79],
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2003:[1487.15,1337.31,3417.56,1463.38,967.49,2898.89,1098.37,2084.7,3209.02,6787.11,5096.38,1535.29,2340.82,1204.33,6485.05,3310.14,1956.02,1777.74,7592.78,984.08,175.82,1135.31,2014.8,569.37,1047.66,47.64,1221.17,572.02,171.92,194.27,719.54],
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2008:[8375.76,2886.65,5276.04,2759.46,3212.06,5207.72,2412.26,2905.68,7872.23,11888.53,8799.31,3234.64,4346.4,2355.86,10358.64,5099.76,4466.85,4633.67,16321.46,2529.51,643.47,2160.48,4561.69,1652.34,2218.81,218.67,2699.74,1234.21,355.93,475,1421.38],
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2006:[5837.55,1902.31,3895.36,1846.18,1934.35,3798.26,1687.07,2096.35,5508.48,7914.11,6281.86,2390.29,3022.83,1614.65,7187.26,3721.44,3111.98,3229.42,11585.82,1835.12,433.57,1649.2,3319.62,989.38,1557.91,159.76,1806.36,900.16,249.04,294.78,1058.16],
2005:[4854.33,1658.19,3340.54,1611.07,1542.26,3295.45,1413.83,1857.42,4776.2,6612.22,5360.1,2137.77,2551.41,1411.92,5924.74,3181.27,2655.94,2882.88,9772.5,1560.92,377.17,1440.32,2836.73,815.32,1374.62,137.24,1546.59,787.36,213.37,259.49,929.41],
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2003:[3435.95,1150.81,2439.68,1176.65,1000.79,2487.85,1075.48,1467.9,3404.19,4493.31,3890.79,1638.42,1949.91,1043.08,4112.43,2358.86,2003.08,1995.78,7178.94,1178.25,293.85,1081.35,2189.68,558.28,1013.76,96.76,1063.89,589.91,169.81,195.46,753.91],
2002:[2982.57,997.47,2149.75,992.69,811.47,2258.17,958.88,1319.4,3038.9,3891.92,3227.99,1399.02,1765.8,972.73,3700.52,1978.37,1795.93,1780.79,6343.94,1074.85,270.96,956.12,1943.68,480.37,914.5,89.56,963.62,514.83,148.83,171.14,704.5]
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2011:[1074.93,411.46,918.02,224.91,384.76,876.12,238.61,492.1,1019.68,2747.89,1677.13,634.92,911.16,402.51,1838.14,987,634.67,518.04,3321.31,465.68,208.71,396.28,620.62,160.3,222.31,17.44,398.03,134.25,29.05,79.01,176.22],
2010:[1006.52,377.59,697.79,192,309.25,733.37,212.32,391.89,1002.5,2600.95,1618.17,532.17,679.03,340.56,1622.15,773.23,564.41,464.21,2813.95,405.79,188.33,266.38,558.56,139.64,223.45,14.54,315.95,110.02,25.41,60.53,143.44],
2009:[1062.47,308.73,612.4,173.31,286.65,605.27,200.14,301.18,1237.56,2025.39,1316.84,497.94,656.61,305.9,1329.59,622.98,546.11,400.11,2470.63,348.98,121.76,229.09,548.14,136.15,205.14,13.28,239.92,101.37,23.05,47.56,115.23],
2008:[844.59,227.88,513.81,166.04,273.3,500.81,182.7,244.47,939.34,1626.13,1052.03,431.27,506.98,281.96,1104.95,512.42,526.88,340.07,2057.45,282.96,95.6,191.21,453.63,104.81,195.48,15.08,193.27,93.8,19.96,38.85,89.79],
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2006:[658.3,156.64,397.14,117.01,136.5,318.54,131.01,194.7,773.61,1017.91,794.41,281.98,435.22,184.67,786.51,348.7,294.73,254.81,1722.07,192.2,44.45,158.2,336.2,80.24,165.92,11.92,125.2,73.21,15.17,25.53,68.9],
2005:[493.73,122.67,330.87,106,98.75,256.77,112.29,163.34,715.97,799.73,688.86,231.66,331.8,171.88,664.9,298.19,217.17,215.63,1430.37,165.05,38.2,143.88,286.23,76.38,148.69,10.02,108.62,63.78,14.1,22.97,55.79],
2004:[436.11,106.14,231.08,95.1,73.81,203.1,97.93,137.74,666.3,534.17,587.83,188.28,248.44,167.2,473.27,236.44,204.8,191.5,1103.75,122.52,30.64,129.12,264.3,68.3,116.54,5.8,95.9,56.84,13,20.78,53.55],
2003:[341.88,92.31,185.19,78.73,61.05,188.49,91.99,127.2,487.82,447.47,473.16,162.63,215.84,138.02,418.21,217.58,176.8,186.49,955.66,100.93,25.14,113.69,231.72,59.86,103.79,4.35,83.9,48.09,11.41,16.85,47.84],
2002:[298.02,73.04,140.89,65.83,51.48,130.94,76.11,118.7,384.86,371.09,360.63,139.18,188.09,125.27,371.13,199.31,145.17,165.29,808.16,82.83,21.45,90.48,210.82,53.49,95.68,3.42,77.68,41.52,9.74,13.46,43.04]
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});
option = {
baseOption: {
timeline: {//时间线
axisType: 'category',
// realtime: false,
// loop: false,
autoPlay: true,//自动增长
// currentIndex: 2,
playInterval: 1000,//增长的时间间隔
// controlStyle: {
// position: 'left'
// },
data: [
'2002-01-01','2003-01-01','2004-01-01',
{
value: '2005-01-01',
tooltip: {
formatter: '{b} GDP达到一个高度'
},
symbol: 'diamond',
symbolSize: 16
},
'2006-01-01', '2007-01-01','2008-01-01','2009-01-01','2010-01-01',
{
value: '2011-01-01',
tooltip: {
formatter: function (params) {
return params.name + 'GDP达到又一个高度';
}
},
symbol: 'diamond',
symbolSize: 18
},
],
label: {
formatter : function(s) {
return (new Date(s)).getFullYear();
}
}
},
title: {
subtext: '数据来自国家统计局'
},
tooltip: {},
//图例
legend: {
left: 'right',
data: ['第一产业', '第二产业', '第三产业'],
selected: {
'GDP': false, '金融': false, '房地产': false
}
},
calculable : true,
//grid
grid: {
top: 80,
bottom: 100
},
//x轴设置
xAxis: [
{
'type':'category',//类型为类目轴
'axisLabel':{'interval':0},//坐标轴标签设置
'data':[
'北京','\n天津','河北','\n山西','内蒙古','\n辽宁','吉林','\n黑龙江',
'上海','\n江苏','浙江','\n安徽','福建','\n江西','山东','\n河南',
'湖北','\n湖南','广东','\n广西','海南','\n重庆','四川','\n贵州',
'云南','\n西藏','陕西','\n甘肃','青海','\n宁夏','新疆'
],//x轴的数据
splitLine: {show: false}
}
],
yAxis: [
{
type: 'value', //y轴是值轴
name: 'GDP（亿元）',//y轴的name
// max: 53500
max: 30000 //y轴最大值
}
],
series: [
{name: 'GDP', type: 'bar'},
{name: '金融', type: 'bar'},
{name: '房地产', type: 'bar'},
{name: '第一产业', type: 'bar'},
{name: '第二产业', type: 'bar'},
{name: '第三产业', type: 'bar'},
{
name: 'GDP占比',
type: 'pie',
center: ['75%', '35%'],
radius: '28%'
}
]
},
options: [
{
title: {text: '2002全国宏观经济指标'},
series: [
{data: dataMap.dataGDP['2002']},
{data: dataMap.dataFinancial['2002']},
{data: dataMap.dataEstate['2002']},
{data: dataMap.dataPI['2002']},
{data: dataMap.dataSI['2002']},
{data: dataMap.dataTI['2002']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2002sum']},
{name: '第二产业', value: dataMap.dataSI['2002sum']},
{name: '第三产业', value: dataMap.dataTI['2002sum']}
]}
]
},
{
title : {text: '2003全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2003']},
{data: dataMap.dataFinancial['2003']},
{data: dataMap.dataEstate['2003']},
{data: dataMap.dataPI['2003']},
{data: dataMap.dataSI['2003']},
{data: dataMap.dataTI['2003']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2003sum']},
{name: '第二产业', value: dataMap.dataSI['2003sum']},
{name: '第三产业', value: dataMap.dataTI['2003sum']}
]}
]
},
{
title : {text: '2004全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2004']},
{data: dataMap.dataFinancial['2004']},
{data: dataMap.dataEstate['2004']},
{data: dataMap.dataPI['2004']},
{data: dataMap.dataSI['2004']},
{data: dataMap.dataTI['2004']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2004sum']},
{name: '第二产业', value: dataMap.dataSI['2004sum']},
{name: '第三产业', value: dataMap.dataTI['2004sum']}
]}
]
},
{
title : {text: '2005全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2005']},
{data: dataMap.dataFinancial['2005']},
{data: dataMap.dataEstate['2005']},
{data: dataMap.dataPI['2005']},
{data: dataMap.dataSI['2005']},
{data: dataMap.dataTI['2005']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2005sum']},
{name: '第二产业', value: dataMap.dataSI['2005sum']},
{name: '第三产业', value: dataMap.dataTI['2005sum']}
]}
]
},
{
title : {text: '2006全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2006']},
{data: dataMap.dataFinancial['2006']},
{data: dataMap.dataEstate['2006']},
{data: dataMap.dataPI['2006']},
{data: dataMap.dataSI['2006']},
{data: dataMap.dataTI['2006']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2006sum']},
{name: '第二产业', value: dataMap.dataSI['2006sum']},
{name: '第三产业', value: dataMap.dataTI['2006sum']}
]}
]
},
{
title : {text: '2007全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2007']},
{data: dataMap.dataFinancial['2007']},
{data: dataMap.dataEstate['2007']},
{data: dataMap.dataPI['2007']},
{data: dataMap.dataSI['2007']},
{data: dataMap.dataTI['2007']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2007sum']},
{name: '第二产业', value: dataMap.dataSI['2007sum']},
{name: '第三产业', value: dataMap.dataTI['2007sum']}
]}
]
},
{
title : {text: '2008全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2008']},
{data: dataMap.dataFinancial['2008']},
{data: dataMap.dataEstate['2008']},
{data: dataMap.dataPI['2008']},
{data: dataMap.dataSI['2008']},
{data: dataMap.dataTI['2008']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2008sum']},
{name: '第二产业', value: dataMap.dataSI['2008sum']},
{name: '第三产业', value: dataMap.dataTI['2008sum']}
]}
]
},
{
title : {text: '2009全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2009']},
{data: dataMap.dataFinancial['2009']},
{data: dataMap.dataEstate['2009']},
{data: dataMap.dataPI['2009']},
{data: dataMap.dataSI['2009']},
{data: dataMap.dataTI['2009']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2009sum']},
{name: '第二产业', value: dataMap.dataSI['2009sum']},
{name: '第三产业', value: dataMap.dataTI['2009sum']}
]}
]
},
{
title : {text: '2010全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2010']},
{data: dataMap.dataFinancial['2010']},
{data: dataMap.dataEstate['2010']},
{data: dataMap.dataPI['2010']},
{data: dataMap.dataSI['2010']},
{data: dataMap.dataTI['2010']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2010sum']},
{name: '第二产业', value: dataMap.dataSI['2010sum']},
{name: '第三产业', value: dataMap.dataTI['2010sum']}
]}
]
},
{
title : {text: '2011全国宏观经济指标'},
series : [
{data: dataMap.dataGDP['2011']},
{data: dataMap.dataFinancial['2011']},
{data: dataMap.dataEstate['2011']},
{data: dataMap.dataPI['2011']},
{data: dataMap.dataSI['2011']},
{data: dataMap.dataTI['2011']},
{data: [
{name: '第一产业', value: dataMap.dataPI['2011sum']},
{name: '第二产业', value: dataMap.dataSI['2011sum']},
{name: '第三产业', value: dataMap.dataTI['2011sum']}
]}
]
}
]
};
myChart.setOption(option);
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