| |
| <!-- |
| Licensed to the Apache Software Foundation (ASF) under one |
| or more contributor license agreements. See the NOTICE file |
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| regarding copyright ownership. The ASF licenses this file |
| to you under the Apache License, Version 2.0 (the |
| "License"); you may not use this file except in compliance |
| with the License. You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, |
| software distributed under the License is distributed on an |
| "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| KIND, either express or implied. See the License for the |
| specific language governing permissions and limitations |
| under the License. |
| --> |
| |
| <html> |
| <head> |
| <meta charset="utf-8"> |
| <script src="lib/simpleRequire.js"></script> |
| <script src="lib/config.js"></script> |
| <script src="lib/jquery.min.js"></script> |
| <script src="lib/draggable.js"></script> |
| <link rel="stylesheet" href="lib/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' |
| ], function (ec) { |
| echarts = ec; |
| |
| chart = echarts.init(document.getElementById('main'), null, { |
| |
| }); |
| |
| 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> |
