|  |  | 
|  | <!-- | 
|  | Licensed to the Apache Software Foundation (ASF) under one | 
|  | or more contributor license agreements.  See the NOTICE file | 
|  | distributed with this work for additional information | 
|  | 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> | 
|  | <meta name="viewport" content="width=device-width, initial-scale=1" /> | 
|  | </head> | 
|  | <body> | 
|  | <style> | 
|  | html, body, #main { | 
|  | width: 100%; | 
|  | height: 100%; | 
|  | margin: 0; | 
|  | background: #ccc; | 
|  | } | 
|  | .block { | 
|  | text-align: center; | 
|  | margin: 20px; | 
|  | } | 
|  | .block .ec { | 
|  | background: #fff; | 
|  | width: 700px; | 
|  | height: 400px; | 
|  | margin: 5px auto; | 
|  | } | 
|  | </style> | 
|  | <div id="main"></div> | 
|  |  | 
|  | <script src="data/timelineGDP.js"></script> | 
|  |  | 
|  | <script> | 
|  |  | 
|  | require([ | 
|  | 'echarts' | 
|  | ], function (echarts) { | 
|  | var zrUtil = echarts.util; | 
|  |  | 
|  | makeChart({ | 
|  | timeline: { | 
|  | label: { | 
|  | normal: { | 
|  | position: 10, | 
|  | rotate: 45, | 
|  | textStyle: { | 
|  | align: 'right', | 
|  | baseline: 'middle' | 
|  | } | 
|  | } | 
|  | } | 
|  | } | 
|  | }); | 
|  | makeChart({ | 
|  | timeline: { | 
|  | inverse: true, | 
|  | symbol: 'path://M0,0L10,0L10,10L0,10L0,0z', | 
|  | symbolSize: [10, 6], | 
|  | symbolOffset: [0, 3], | 
|  | symbolRotate: 30 | 
|  | } | 
|  | }); | 
|  |  | 
|  | makeChart({timeline: {inverse: true, controlStyle: {position: 'right'}}, width: 400}); | 
|  |  | 
|  | makeChart({timeline: {orient: 'vertical', x: 0, y: 10, width: 55, height: '80%'}}); | 
|  | makeChart({timeline: {orient: 'vertical', inverse: true, rewind: true, x: 0, y: 10, width: 55, height: '80%'}}); | 
|  | makeChart({timeline: {orient: 'vertical', inverse: true, x: null, x2: 0, y: 10, width: 55, height: '80%'}}); | 
|  | makeChart({timeline: {orient: 'vertical', inverse: true, x: null, x2: 0, y: 10, width: 55, height: '80%', controlStyle: {position: 'top'}}}); | 
|  | makeChart({timeline: {label: {position: 'top'}}}); | 
|  | makeChart({timeline: {orient: 'vertical', inverse: true, x: null, x2: 0, y: 10, width: 55, height: '80%', label: {position: 'right'}}}); | 
|  | makeChart({timeline: {orient: 'vertical', inverse: true, x: null, x2: 0, y: 10, width: 55, height: '80%', label: {position: -640, emphasis: {textStyle: {fontSize: 20}}}}}); | 
|  |  | 
|  | makeChart({timeline: {controlStyle: {show: false}}}); | 
|  | makeChart({timeline: {controlStyle: {showPlayBtn: false}}}); | 
|  | makeChart({timeline: {controlStyle: {showPrevBtn: false}}}); | 
|  | makeChart({timeline: {controlStyle: {showNextBtn: false}}}); | 
|  | makeChart({timeline: {}}); | 
|  |  | 
|  | makeChart({ | 
|  | timeline: {lineStyle: {show: false}, | 
|  | symbol: 'circle', | 
|  | itemStyle: {normal: {color: 'rgba(194,53,49, 0.5)'}}, | 
|  | controlStyle: {showPrevBtn: false, showNextBtn: false, normal: {color: 'rgba(194,53,49, 0.5)', borderColor: 'rgba(194,53,49, 0.5)'}}, | 
|  | orient: 'vertical', inverse: true, x: 0, y: 40, width: 55, height: '80%' | 
|  | }}); | 
|  |  | 
|  | makeChart({ | 
|  | timeline: { | 
|  | height: 55, | 
|  | data: [ | 
|  | '2002-01-01','2003-01-01','2004-01-01','2005-01-01', | 
|  | { | 
|  | value: '2006-01-01', | 
|  | symbol: 'pin', | 
|  | symbolSize: 30 | 
|  | }, | 
|  | '2007-01-01','2008-01-01','2009-01-01','2010-01-01', | 
|  | { | 
|  | value: '2011-01-01', | 
|  | symbol: 'pin', | 
|  | symbolSize: 30 | 
|  | } | 
|  | ] | 
|  | } | 
|  | }); | 
|  |  | 
|  | makeChart({ | 
|  | timeline: { | 
|  | symbol: 'none' | 
|  | } | 
|  | }); | 
|  |  | 
|  | function makeChart(opt) { | 
|  | opt = opt || {}; | 
|  | var containerEl = document.getElementById('main'); | 
|  | var el = document.createElement('div'); | 
|  | el.className = 'block'; | 
|  | var widthString = ''; | 
|  | if (opt.width != null) { | 
|  | widthString = ' style="width:' + opt.width + 'px" '; | 
|  | } | 
|  | el.innerHTML = '<div class="ec" ' + widthString + '></div><label>' | 
|  | + encodeHTML(JSON.stringify(opt)) + '</label>'; | 
|  | containerEl.appendChild(el); | 
|  |  | 
|  | var chart = echarts.init(el.firstChild, null, { }); | 
|  | chart.setOption(getOption(opt)); | 
|  | } | 
|  |  | 
|  | function encodeHTML(source) { | 
|  | return source == null | 
|  | ? '' | 
|  | : String(source) | 
|  | .replace(/&/g, '&') | 
|  | .replace(/</g, '<') | 
|  | .replace(/>/g, '>') | 
|  | .replace(/"/g, '"') | 
|  | .replace(/'/g, '''); | 
|  | }; | 
|  |  | 
|  | function getOption(opt) { | 
|  | return zrUtil.merge({ | 
|  | timeline:{ | 
|  | // y: 0, | 
|  | axisType: 'category', | 
|  | // realtime: false, | 
|  | // loop: false, | 
|  | autoPlay : false, | 
|  | // currentIndex: 2, | 
|  | playInterval : 1000, | 
|  | // controlStyle: { | 
|  | //     position: 'left' | 
|  | // }, | 
|  | 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(); | 
|  | } | 
|  | }, | 
|  | controlStyle: { | 
|  | // itemGap: 0, | 
|  | normal: { | 
|  | borderWidth: 1 | 
|  | } | 
|  | }, | 
|  | itemStyle: { | 
|  | // normal: {symbolSize: 1} | 
|  | } | 
|  | }, | 
|  | baseOption: { | 
|  | backgroundColor: '#fff', | 
|  | title: { | 
|  | 'subtext':'数据来自国家统计局' | 
|  | }, | 
|  | tooltip: {'trigger':'axis'}, | 
|  | calculable : true, | 
|  | grid : { | 
|  | x: 120, x2: 120, y: 80, y2: 100 | 
|  | }, | 
|  | xAxis : [ | 
|  | { | 
|  | 'type':'category', | 
|  | 'axisLabel':{'interval':0}, | 
|  | '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' | 
|  | ], | 
|  | splitLine: {show: false} | 
|  | } | 
|  | ], | 
|  | yAxis : [ | 
|  | { | 
|  | 'type':'value', | 
|  | 'name':'GDP(亿元)', | 
|  | 'max':53500 | 
|  | }, | 
|  | { | 
|  | 'type':'value', | 
|  | 'name':'其他(亿元)', | 
|  | splitLine: {show: false} | 
|  | } | 
|  | ], | 
|  | series: [ | 
|  | { | 
|  | name: 'GDP', | 
|  | type: 'bar', | 
|  | markLine: { | 
|  | symbol : ['arrow','none'], | 
|  | symbolSize : [4, 2], | 
|  | itemStyle : { | 
|  | lineStyle: {color:'orange'}, | 
|  | barBorderColor:'orange', | 
|  | }, | 
|  | label:{ | 
|  | // position: 'left' is a invalid value, but exists in this historical file, | 
|  | // while will be ignored before v5.0 . | 
|  | // But since v5.0, position: 'left' will cause incorrect result. | 
|  | // position: 'left', | 
|  | position: 'start', | 
|  | formatter:function(params){ | 
|  | return Math.round(params.value); | 
|  | }, | 
|  | textStyle: {color:'orange'} | 
|  | }, | 
|  | 'data':[{'type':'average','name':'平均值'}] | 
|  | } | 
|  | } | 
|  | // {type: 'bar'}, | 
|  | // {type: 'bar'}, | 
|  | // {type: 'bar'}, | 
|  | // {type: 'bar'}, | 
|  | // {type: 'bar'} | 
|  | ] | 
|  | }, | 
|  | options: [ | 
|  | { | 
|  | title : {text: '2002全国宏观经济指标'}, | 
|  | series : [ | 
|  | { | 
|  | 'name':'GDP', | 
|  | 'data': dataMap.dataGDP['2002'] | 
|  | }, | 
|  | { | 
|  | 'name':'金融','yAxisIndex':1,'type':'bar', | 
|  | 'data': dataMap.dataFinancial['2002'] | 
|  | }, | 
|  | { | 
|  | 'name':'房地产','yAxisIndex':1,'type':'bar', | 
|  | 'data': dataMap.dataEstate['2002'] | 
|  | }, | 
|  | { | 
|  | 'name':'第一产业','yAxisIndex':1,'type':'bar', | 
|  | 'data': dataMap.dataPI['2002'] | 
|  | }, | 
|  | { | 
|  | 'name':'第二产业','yAxisIndex':1,'type':'bar', | 
|  | 'data': dataMap.dataSI['2002'] | 
|  | }, | 
|  | { | 
|  | 'name':'第三产业','yAxisIndex':1,'type':'bar', | 
|  | 'data': dataMap.dataTI['2002'] | 
|  | } | 
|  | ] | 
|  | }, | 
|  | { | 
|  | 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']} | 
|  | ] | 
|  | }, | 
|  | { | 
|  | 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']} | 
|  | ] | 
|  | }, | 
|  | { | 
|  | 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']} | 
|  | ] | 
|  | }, | 
|  | { | 
|  | 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']} | 
|  | ] | 
|  | }, | 
|  | { | 
|  | 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']} | 
|  | ] | 
|  | }, | 
|  | { | 
|  | 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']} | 
|  | ] | 
|  | }, | 
|  | { | 
|  | 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']} | 
|  | ] | 
|  | }, | 
|  | { | 
|  | 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']} | 
|  | ] | 
|  | }, | 
|  | { | 
|  | 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']} | 
|  | ] | 
|  | } | 
|  | ] | 
|  | }, opt, true); | 
|  | } | 
|  |  | 
|  | }); | 
|  | </script> | 
|  | </body> | 
|  | </html> |