<html>
<head>
<meta charset="utf-8">
<script src="esl.js"></script>
<script src="config.js"></script>
<script src="lib/jquery.min.js"></script>
<script src="lib/draggable.js"></script>
<link rel="stylesheet" href="reset.css">
<meta name="viewport" content="width=device-width, initial-scale=1" />
</head>
<body>
<style>
body {
position: absolute;
left: 0;
top: 0;
}
#main {
position: absolute;
top: 10px;
left: 10px;
width: 700px;
height: 650px;
background: #fff;
}
.code-panel {
position: fixed;
top: 10px;
right: 10px;
width: 200px;
border: 2px solid #555;
}
.code-line {
margin: 15px 5px;
font-size: 12px;
}
.code-line textarea{
width: 190px;
height: 80px;
margin-bottom: 5px;
}
</style>
<div id="main"></div>
<div class="code-panel">
<div class="code-line">
<textarea id="code1">
chart.setOption({backgroundColor: '#000'});
</textarea>
<input type="button" value="run" onclick="runCode('code1');"/>
Then press restore buttton.
</div>
<div class="code-line">
<textarea id="code2">
chart.setOption({backgroundColor: '#fff'});
</textarea>
<input type="button" value="run" onclick="runCode('code2');"/>
</div>
<div class="code-line">
<textarea id="code3">
chart.setOption({
series: [
{id: 'pie0', label: {normal: {position: 'inside'}}}
]
});
</textarea>
<input type="button" value="run" onclick="runCode('code3');"/>
</div>
<div class="code-line">
<textarea id="code4">
chart.setOption({
timeline: {
currentIndex: 5
}
});
</textarea>
<input type="button" value="run" onclick="runCode('code4');"/>
</div>
</div>
<script src="data/timelineGDP.js"></script>
<script>
var chart;
var echarts;
// markLine: {
// symbol: ['arrow','none'],
// symbolSize: [4, 2],
// itemStyle: {
// normal: {
// lineStyle: {color:'orange'},
// barBorderColor:'orange',
// label: {
// position:'left',
// formatter:function(params){
// return Math.round(params.value);
// },
// textStyle:{color:'orange'}
// }
// }
// },
// data: [{type: 'average', name: '平均值'}]
// }
require([
'echarts',
'echarts/chart/bar',
'echarts/chart/pie',
'echarts/component/title',
'echarts/component/legend',
'echarts/component/grid',
'echarts/component/tooltip',
'echarts/component/timeline',
'echarts/component/toolbox'
], function (ec) {
echarts = ec;
chart = echarts.init(document.getElementById('main'), null, {
renderer: 'canvas'
});
draggable.init(
document.getElementById('main'),
chart,
{throttle: 70}
);
var categoryData = [
'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 categoryDataWithReturn = [];
for (var i = 0; i < categoryData.length; i++) {
var word = categoryData[i];
if (i % 2 === 0) {
word = '\n' + word;
}
categoryDataWithReturn.push(word);
}
var categoryData = [
'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'
];
option = {
baseOption: {
timeline: {
axisType: 'category',
autoPlay: true,
playInterval: 1000,
data: [
'2002-01-01', '2003-01-01', '2004-01-01',
'2005-01-01', '2006-01-01', '2007-01-01',
'2008-01-01', '2009-01-01', '2010-01-01',
'2011-01-01'
],
label: {
formatter : function(s) {
return (new Date(s)).getFullYear();
}
}
},
toolbox: {
left: 0,
bottom: 0,
feature: {
restore: {}
}
},
title: {
subtext: 'Media Query 示例'
},
tooltip: {
trigger:'axis',
axisPointer: {
type: 'shadow'
}
},
xAxis: {
type: 'value',
name: 'GDP（亿元）',
max: 30000,
data: null
},
yAxis: {
type: 'category',
data: categoryData,
axisLabel: {interval: 0},
splitLine: {show: false}
},
legend: {
data: ['第一产业', '第二产业', '第三产业', 'GDP', '金融', '房地产'],
selected: {
'GDP': false, '金融': false, '房地产': false
}
},
calculable : true,
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', id: 'pie0'}
]
},
media: [
{
option: {
legend: {
orient: 'horizontal',
left: 'right',
itemGap: 10
},
grid: {
left: '10%',
top: 80,
right: 90,
bottom: 100
},
xAxis: {
nameLocation: 'end',
nameGap: 10,
splitLine: {
show: true
},
axisLabel: {
interval: 'auto'
}
},
timeline: {
show: true,
orient: 'horizontal',
inverse: false,
left: '20%',
right: '20%',
bottom: 10,
height: 40
},
series: [
{name: 'GDP占比', center: ['75%', '30%'], radius: '28%'}
]
}
},
{
query: {maxWidth: 670, minWidth: 550},
option: {
legend: {
orient: 'horizontal',
left: 200,
itemGap: 5
},
grid: {
left: '10%',
top: 80,
right: 90,
bottom: 100
},
xAxis: {
nameLocation: 'end',
nameGap: 10,
splitLine: {
show: true
},
axisLabel: {
interval: 'auto'
}
},
timeline: {
show: true,
orient: 'horizontal',
inverse: false,
left: '20%',
right: '20%',
bottom: 10,
height: 40
},
series: [
{name: 'GDP占比', center: ['75%', '30%'], radius: '28%'}
]
}
},
{
query: {maxWidth: 550},
option: {
legend: {
orient: 'vertical',
left: 'right',
itemGap: 5
},
grid: {
left: 55,
top: '32%',
right: 100,
bottom: 50
},
xAxis: {
nameLocation: 'middle',
nameGap: 25,
axisLabel: {
interval: 1
}
},
timeline: {
show: true,
orient: 'vertical',
inverse: true,
right: 10,
top: 150,
bottom: 10,
width: 55
},
series: [
{name: 'GDP占比', center: ['45%', '20%'], radius: '28%'}
]
}
},
{
query: {maxWidth: 350},
option: {
legend: {
orient: 'vertical',
left: 'right',
itemGap: 5
},
grid: {
left: 55,
top: '32%',
right: 100,
bottom: 50
},
xAxis: {
nameLocation: 'middle',
nameGap: 25,
axisLabel: {
interval: 1
}
},
timeline: {
show: false
},
series: [
{name: 'GDP占比', center: ['45%', '20%'], 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']}
], id: 'pie0'}
]
},
{
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']}
], id: 'pie0'}
]
},
{
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']}
], id: 'pie0'}
]
},
{
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']}
], id: 'pie0'}
]
},
{
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']}
], id: 'pie0'}
]
},
{
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']}
], id: 'pie0'}
]
},
{
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']}
], id: 'pie0'}
]
},
{
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']}
], id: 'pie0'}
]
},
{
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']}
], id: 'pie0'}
]
},
{
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']}
], id: 'pie0'}
]
}
]
};
chart.setOption(option);
chart.on('legendSelected', function () {
});
window.onresize = chart.resize;
});
</script>
<script type="text/javascript">
function runCode(id) {
var textarea = document.getElementById(id);
var code = textarea.value;
(new Function('chart', 'echarts', code))(chart, echarts);
}
</script>
</body>
</html> |