var myChart;
var axisData = [
"2013/1/24", "2013/1/25", "2013/1/28", "2013/1/29", "2013/1/30",
"2013/1/31", "2013/2/1", "2013/2/4", "2013/2/5", "2013/2/6",
"2013/2/7", "2013/2/8", "2013/2/18", "2013/2/19", "2013/2/20",
"2013/2/21", "2013/2/22", "2013/2/25", "2013/2/26", "2013/2/27",
"2013/2/28", "2013/3/1", "2013/3/4", "2013/3/5", "2013/3/6",
"2013/3/7", "2013/3/8", "2013/3/11", "2013/3/12", "2013/3/13",
"2013/3/14", "2013/3/15", "2013/3/18", "2013/3/19", "2013/3/20",
"2013/3/21", "2013/3/22", "2013/3/25", "2013/3/26", "2013/3/27",
"2013/3/28", "2013/3/29", "2013/4/1", "2013/4/2", "2013/4/3",
"2013/4/8", "2013/4/9", "2013/4/10", "2013/4/11", "2013/4/12",
"2013/4/15", "2013/4/16", "2013/4/17", "2013/4/18", "2013/4/19",
"2013/4/22", "2013/4/23", "2013/4/24", "2013/4/25", "2013/4/26",
"2013/5/2", "2013/5/3", "2013/5/6", "2013/5/7", "2013/5/8",
"2013/5/9", "2013/5/10", "2013/5/13", "2013/5/14", "2013/5/15",
"2013/5/16", "2013/5/17", "2013/5/20", "2013/5/21", "2013/5/22",
"2013/5/23", "2013/5/24", "2013/5/27", "2013/5/28", "2013/5/29",
"2013/5/30", "2013/5/31", "2013/6/3", "2013/6/4", "2013/6/5",
"2013/6/6", "2013/6/7", "2013/6/13"
];
var kData = [ // 开盘,收盘,最低,最高
[2320.26,2302.6,2287.3,2362.94],
[2300,2291.3,2288.26,2308.38],
[2295.35,2346.5,2295.35,2346.92],
[2347.22,2358.98,2337.35,2363.8],
[2360.75,2382.48,2347.89,2383.76],
[2383.43,2385.42,2371.23,2391.82],
[2377.41,2419.02,2369.57,2421.15],
[2425.92,2428.15,2417.58,2440.38],
[2411,2433.13,2403.3,2437.42],
[2432.68,2434.48,2427.7,2441.73],
[2430.69,2418.53,2394.22,2433.89],
[2416.62,2432.4,2414.4,2443.03],
[2441.91,2421.56,2415.43,2444.8],
[2420.26,2382.91,2373.53,2427.07],
[2383.49,2397.18,2370.61,2397.94],
[2378.82,2325.95,2309.17,2378.82],
[2322.94,2314.16,2308.76,2330.88],
[2320.62,2325.82,2315.01,2338.78],
[2313.74,2293.34,2289.89,2340.71],
[2297.77,2313.22,2292.03,2324.63],
[2322.32,2365.59,2308.92,2366.16],
[2364.54,2359.51,2330.86,2369.65],
[2332.08,2273.4,2259.25,2333.54],
[2274.81,2326.31,2270.1,2328.14],
[2333.61,2347.18,2321.6,2351.44],
[2340.44,2324.29,2304.27,2352.02],
[2326.42,2318.61,2314.59,2333.67],
[2314.68,2310.59,2296.58,2320.96],
[2309.16,2286.6,2264.83,2333.29],
[2282.17,2263.97,2253.25,2286.33],
[2255.77,2270.28,2253.31,2276.22],
[2269.31,2278.4,2250,2312.08],
[2267.29,2240.02,2239.21,2276.05],
[2244.26,2257.43,2232.02,2261.31],
[2257.74,2317.37,2257.42,2317.86],
[2318.21,2324.24,2311.6,2330.81],
[2321.4,2328.28,2314.97,2332],
[2334.74,2326.72,2319.91,2344.89],
[2318.58,2297.67,2281.12,2319.99],
[2299.38,2301.26,2289,2323.48],
[2273.55,2236.3,2232.91,2273.55],
[2238.49,2236.62,2228.81,2246.87],
[2229.46,2234.4,2227.31,2243.95],
[2234.9,2227.74,2220.44,2253.42],
[2232.69,2225.29,2217.25,2241.34],
[2196.24,2211.59,2180.67,2212.59],
[2215.47,2225.77,2215.47,2234.73],
[2224.93,2226.13,2212.56,2233.04],
[2236.98,2219.55,2217.26,2242.48],
[2218.09,2206.78,2204.44,2226.26],
[2199.91,2181.94,2177.39,2204.99],
[2169.63,2194.85,2165.78,2196.43],
[2195.03,2193.8,2178.47,2197.51],
[2181.82,2197.6,2175.44,2206.03],
[2201.12,2244.64,2200.58,2250.11],
[2236.4,2242.17,2232.26,2245.12],
[2242.62,2184.54,2182.81,2242.62],
[2187.35,2218.32,2184.11,2226.12],
[2213.19,2199.31,2191.85,2224.63],
[2203.89,2177.91,2173.86,2210.58],
[2170.78,2174.12,2161.14,2179.65],
[2179.05,2205.5,2179.05,2222.81],
[2212.5,2231.17,2212.5,2236.07],
[2227.86,2235.57,2219.44,2240.26],
[2242.39,2246.3,2235.42,2255.21],
[2246.96,2232.97,2221.38,2247.86],
[2228.82,2246.83,2225.81,2247.67],
[2247.68,2241.92,2231.36,2250.85],
[2238.9,2217.01,2205.87,2239.93],
[2217.09,2224.8,2213.58,2225.19],
[2221.34,2251.81,2210.77,2252.87],
[2249.81,2282.87,2248.41,2288.09],
[2286.33,2299.99,2281.9,2309.39],
[2297.11,2305.11,2290.12,2305.3],
[2303.75,2302.4,2292.43,2314.18],
[2293.81,2275.67,2274.1,2304.95],
[2281.45,2288.53,2270.25,2292.59],
[2286.66,2293.08,2283.94,2301.7],
[2293.4,2321.32,2281.47,2322.1],
[2323.54,2324.02,2321.17,2334.33],
[2316.25,2317.75,2310.49,2325.72],
[2320.74,2300.59,2299.37,2325.53],
[2300.21,2299.25,2294.11,2313.43],
[2297.1,2272.42,2264.76,2297.1],
[2270.71,2270.93,2260.87,2276.86],
[2264.43,2242.11,2240.07,2266.69],
[2242.26,2210.9,2205.07,2250.63],
[2190.1,2148.35,2126.22,2190.1]
];
var placeList = [
{name:'海门', geoCoord:[121.15, 31.89]},
{name:'鄂尔多斯', geoCoord:[109.781327, 39.608266]},
{name:'招远', geoCoord:[120.38, 37.35]},
{name:'舟山', geoCoord:[122.207216, 29.985295]},
{name:'齐齐哈尔', geoCoord:[123.97, 47.33]},
{name:'盐城', geoCoord:[120.13, 33.38]},
{name:'赤峰', geoCoord:[118.87, 42.28]},
{name:'青岛', geoCoord:[120.33, 36.07]},
{name:'乳山', geoCoord:[121.52, 36.89]},
{name:'金昌', geoCoord:[102.188043, 38.520089]},
{name:'泉州', geoCoord:[118.58, 24.93]},
{name:'莱西', geoCoord:[120.53, 36.86]},
{name:'日照', geoCoord:[119.46, 35.42]},
{name:'胶南', geoCoord:[119.97, 35.88]},
{name:'南通', geoCoord:[121.05, 32.08]},
{name:'拉萨', geoCoord:[91.11, 29.97]},
{name:'云浮', geoCoord:[112.02, 22.93]},
{name:'梅州', geoCoord:[116.1, 24.55]},
{name:'文登', geoCoord:[122.05, 37.2]},
{name:'上海', geoCoord:[121.48, 31.22]},
{name:'攀枝花', geoCoord:[101.718637, 26.582347]},
{name:'威海', geoCoord:[122.1, 37.5]},
{name:'承德', geoCoord:[117.93, 40.97]},
{name:'厦门', geoCoord:[118.1, 24.46]},
{name:'汕尾', geoCoord:[115.375279, 22.786211]},
{name:'潮州', geoCoord:[116.63, 23.68]},
{name:'丹东', geoCoord:[124.37, 40.13]},
{name:'太仓', geoCoord:[121.1, 31.45]},
{name:'曲靖', geoCoord:[103.79, 25.51]},
{name:'烟台', geoCoord:[121.39, 37.52]},
{name:'福州', geoCoord:[119.3, 26.08]},
{name:'瓦房店', geoCoord:[121.979603, 39.627114]},
{name:'即墨', geoCoord:[120.45, 36.38]},
{name:'抚顺', geoCoord:[123.97, 41.97]},
{name:'玉溪', geoCoord:[102.52, 24.35]},
{name:'张家口', geoCoord:[114.87, 40.82]},
{name:'阳泉', geoCoord:[113.57, 37.85]},
{name:'莱州', geoCoord:[119.942327, 37.177017]},
{name:'湖州', geoCoord:[120.1, 30.86]},
{name:'汕头', geoCoord:[116.69, 23.39]},
{name:'昆山', geoCoord:[120.95, 31.39]},
{name:'宁波', geoCoord:[121.56, 29.86]},
{name:'湛江', geoCoord:[110.359377, 21.270708]},
{name:'揭阳', geoCoord:[116.35, 23.55]},
{name:'荣成', geoCoord:[122.41, 37.16]},
{name:'连云港', geoCoord:[119.16, 34.59]},
{name:'葫芦岛', geoCoord:[120.836932, 40.711052]},
{name:'常熟', geoCoord:[120.74, 31.64]},
{name:'东莞', geoCoord:[113.75, 23.04]},
{name:'河源', geoCoord:[114.68, 23.73]},
{name:'淮安', geoCoord:[119.15, 33.5]},
{name:'泰州', geoCoord:[119.9, 32.49]},
{name:'南宁', geoCoord:[108.33, 22.84]},
{name:'营口', geoCoord:[122.18, 40.65]},
{name:'惠州', geoCoord:[114.4, 23.09]},
{name:'江阴', geoCoord:[120.26, 31.91]},
{name:'蓬莱', geoCoord:[120.75, 37.8]},
{name:'韶关', geoCoord:[113.62, 24.84]},
{name:'嘉峪关', geoCoord:[98.289152, 39.77313]},
{name:'广州', geoCoord:[113.23, 23.16]},
{name:'延安', geoCoord:[109.47, 36.6]},
{name:'太原', geoCoord:[112.53, 37.87]},
{name:'清远', geoCoord:[113.01, 23.7]},
{name:'中山', geoCoord:[113.38, 22.52]},
{name:'昆明', geoCoord:[102.73, 25.04]},
{name:'寿光', geoCoord:[118.73, 36.86]},
{name:'盘锦', geoCoord:[122.070714, 41.119997]},
{name:'长治', geoCoord:[113.08, 36.18]},
{name:'深圳', geoCoord:[114.07, 22.62]},
{name:'珠海', geoCoord:[113.52, 22.3]},
{name:'宿迁', geoCoord:[118.3, 33.96]},
{name:'咸阳', geoCoord:[108.72, 34.36]},
{name:'铜川', geoCoord:[109.11, 35.09]},
{name:'平度', geoCoord:[119.97, 36.77]},
{name:'佛山', geoCoord:[113.11, 23.05]},
{name:'海口', geoCoord:[110.35, 20.02]},
{name:'江门', geoCoord:[113.06, 22.61]},
{name:'章丘', geoCoord:[117.53, 36.72]},
{name:'肇庆', geoCoord:[112.44, 23.05]},
{name:'大连', geoCoord:[121.62, 38.92]},
{name:'临汾', geoCoord:[111.5, 36.08]},
{name:'吴江', geoCoord:[120.63, 31.16]},
{name:'石嘴山', geoCoord:[106.39, 39.04]},
{name:'沈阳', geoCoord:[123.38, 41.8]},
{name:'苏州', geoCoord:[120.62, 31.32]},
{name:'茂名', geoCoord:[110.88, 21.68]},
{name:'嘉兴', geoCoord:[120.76, 30.77]},
{name:'长春', geoCoord:[125.35, 43.88]},
{name:'胶州', geoCoord:[120.03336, 36.264622]},
{name:'银川', geoCoord:[106.27, 38.47]},
{name:'张家港', geoCoord:[120.555821, 31.875428]},
{name:'三门峡', geoCoord:[111.19, 34.76]},
{name:'锦州', geoCoord:[121.15, 41.13]},
{name:'南昌', geoCoord:[115.89, 28.68]},
{name:'柳州', geoCoord:[109.4, 24.33]},
{name:'三亚', geoCoord:[109.511909, 18.252847]},
{name:'自贡', geoCoord:[104.778442, 29.33903]},
{name:'吉林', geoCoord:[126.57, 43.87]},
{name:'阳江', geoCoord:[111.95, 21.85]},
{name:'泸州', geoCoord:[105.39, 28.91]},
{name:'西宁', geoCoord:[101.74, 36.56]},
{name:'宜宾', geoCoord:[104.56, 29.77]},
{name:'呼和浩特', geoCoord:[111.65, 40.82]},
{name:'成都', geoCoord:[104.06, 30.67]},
{name:'大同', geoCoord:[113.3, 40.12]},
{name:'镇江', geoCoord:[119.44, 32.2]},
{name:'桂林', geoCoord:[110.28, 25.29]},
{name:'张家界', geoCoord:[110.479191, 29.117096]},
{name:'宜兴', geoCoord:[119.82, 31.36]},
{name:'北海', geoCoord:[109.12, 21.49]},
{name:'西安', geoCoord:[108.95, 34.27]},
{name:'金坛', geoCoord:[119.56, 31.74]},
{name:'东营', geoCoord:[118.49, 37.46]},
{name:'牡丹江', geoCoord:[129.58, 44.6]},
{name:'遵义', geoCoord:[106.9, 27.7]},
{name:'绍兴', geoCoord:[120.58, 30.01]},
{name:'扬州', geoCoord:[119.42, 32.39]},
{name:'常州', geoCoord:[119.95, 31.79]},
{name:'潍坊', geoCoord:[119.1, 36.62]},
{name:'重庆', geoCoord:[106.54, 29.59]},
{name:'台州', geoCoord:[121.420757, 28.656386]},
{name:'南京', geoCoord:[118.78, 32.04]},
{name:'滨州', geoCoord:[118.03, 37.36]},
{name:'贵阳', geoCoord:[106.71, 26.57]},
{name:'无锡', geoCoord:[120.29, 31.59]},
{name:'本溪', geoCoord:[123.73, 41.3]},
{name:'克拉玛依', geoCoord:[84.77, 45.59]},
{name:'渭南', geoCoord:[109.5, 34.52]},
{name:'马鞍山', geoCoord:[118.48, 31.56]},
{name:'宝鸡', geoCoord:[107.15, 34.38]},
{name:'焦作', geoCoord:[113.21, 35.24]},
{name:'句容', geoCoord:[119.16, 31.95]},
{name:'北京', geoCoord:[116.46, 39.92]},
{name:'徐州', geoCoord:[117.2, 34.26]},
{name:'衡水', geoCoord:[115.72, 37.72]},
{name:'包头', geoCoord:[110, 40.58]},
{name:'绵阳', geoCoord:[104.73, 31.48]},
{name:'乌鲁木齐', geoCoord:[87.68, 43.77]},
{name:'枣庄', geoCoord:[117.57, 34.86]},
{name:'杭州', geoCoord:[120.19, 30.26]},
{name:'淄博', geoCoord:[118.05, 36.78]},
{name:'鞍山', geoCoord:[122.85, 41.12]},
{name:'溧阳', geoCoord:[119.48, 31.43]},
{name:'库尔勒', geoCoord:[86.06, 41.68]},
{name:'安阳', geoCoord:[114.35, 36.1]},
{name:'开封', geoCoord:[114.35, 34.79]},
{name:'济南', geoCoord:[117, 36.65]},
{name:'德阳', geoCoord:[104.37, 31.13]},
{name:'温州', geoCoord:[120.65, 28.01]},
{name:'九江', geoCoord:[115.97, 29.71]},
{name:'邯郸', geoCoord:[114.47, 36.6]},
{name:'临安', geoCoord:[119.72, 30.23]},
{name:'兰州', geoCoord:[103.73, 36.03]},
{name:'沧州', geoCoord:[116.83, 38.33]},
{name:'临沂', geoCoord:[118.35, 35.05]},
{name:'南充', geoCoord:[106.110698, 30.837793]},
{name:'天津', geoCoord:[117.2, 39.13]},
{name:'富阳', geoCoord:[119.95, 30.07]},
{name:'泰安', geoCoord:[117.13, 36.18]},
{name:'诸暨', geoCoord:[120.23, 29.71]},
{name:'郑州', geoCoord:[113.65, 34.76]},
{name:'哈尔滨', geoCoord:[126.63, 45.75]},
{name:'聊城', geoCoord:[115.97, 36.45]},
{name:'芜湖', geoCoord:[118.38, 31.33]},
{name:'唐山', geoCoord:[118.02, 39.63]},
{name:'平顶山', geoCoord:[113.29, 33.75]},
{name:'邢台', geoCoord:[114.48, 37.05]},
{name:'德州', geoCoord:[116.29, 37.45]},
{name:'济宁', geoCoord:[116.59, 35.38]},
{name:'荆州', geoCoord:[112.239741, 30.335165]},
{name:'宜昌', geoCoord:[111.3, 30.7]},
{name:'义乌', geoCoord:[120.06, 29.32]},
{name:'丽水', geoCoord:[119.92, 28.45]},
{name:'洛阳', geoCoord:[112.44, 34.7]},
{name:'秦皇岛', geoCoord:[119.57, 39.95]},
{name:'株洲', geoCoord:[113.16, 27.83]},
{name:'石家庄', geoCoord:[114.48, 38.03]},
{name:'莱芜', geoCoord:[117.67, 36.19]},
{name:'常德', geoCoord:[111.69, 29.05]},
{name:'保定', geoCoord:[115.48, 38.85]},
{name:'湘潭', geoCoord:[112.91, 27.87]},
{name:'金华', geoCoord:[119.64, 29.12]},
{name:'岳阳', geoCoord:[113.09, 29.37]},
{name:'长沙', geoCoord:[113, 28.21]},
{name:'衢州', geoCoord:[118.88, 28.97]},
{name:'廊坊', geoCoord:[116.7, 39.53]},
{name:'菏泽', geoCoord:[115.480656, 35.23375]},
{name:'合肥', geoCoord:[117.27, 31.86]},
{name:'武汉', geoCoord:[114.31, 30.52]},
{name:'大庆', geoCoord:[125.03, 46.58]}
];
var optionMap = {
calculable : {
title: {
text: 'Drag-Recalculate',
subtext: 'Try to drag the desired items together.'
},
tooltip : {
trigger: 'item',
formatter: "{a}
{b} : {c} ({d}%)"
},
legend: {
y: 60,
data:['Chrome','Firefox','Safari','IE9+','IE8','IE7','IE6-']
},
toolbox: {
show : true,
feature : {
dataView : {show: true, readOnly: false},
restore : {show: true},
saveAsImage : {show: true}
}
},
calculable : true,
series : [
{
name:'Browser proportion',
type:'pie',
center: ['50%', '65%'], // 默认全局居中
data:[
{value:535, name:'Chrome'},
{value:310, name:'Firefox'},
{value:234, name:'Safari'},
{value:235, name:'IE9+'},
{value:1035, name:'IE8'},
{value:1305, name:'IE7'},
{value:948, name:'IE6-'}
]
}
]
},
magicType : {
title: {
text: 'Magic Switch',
subtext: 'More interpretation of this same data.'
},
tooltip : {
trigger: 'axis'
},
legend: {
y: 60,
data:['Intent','Preorder','Deal']
},
toolbox: {
show : true,
feature : {
mark : {show: true},
dataView : {show: true, readOnly: false},
magicType: {show: true, type : ['line', 'bar', 'stack', 'tiled']},
restore : {show: true},
saveAsImage : {show: true}
}
},
calculable : true,
grid: {
y:100
},
xAxis : [
{
type : 'category',
boundaryGap : true,
data : ['Mon','Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
}
],
yAxis : [
{
type : 'value'
}
],
series : [
{
name:'Intent',
type:'bar',
smooth:true,
itemStyle: {normal: {areaStyle: {type: 'default'}}},
data:[1320, 1132, 601, 234, 120, 90, 20]
},
{
name:'Preorder',
type:'bar',
smooth:true,
itemStyle: {normal: {areaStyle: {type: 'default'}}},
data:[30, 182, 434, 791, 390, 30, 10]
},
{
name:'Deal',
type:'bar',
smooth:true,
itemStyle: {normal: {areaStyle: {type: 'default'}}},
data:[10, 12, 21, 54, 260, 830, 710]
}
]
},
dataRange : {
title : {
text: 'Scale Roaming',
subtext: 'Focus on the interested data.'
},
tooltip : {
trigger: 'item'
},
dataRange: {
min: 0,
max: 55000,
x: 'left',
text:['High','Low'], // 文本,默认为数值文本
color:[ 'red', 'yellow'],//颜色
calculable : true,
realtime: false
},
toolbox: {
show : true,
feature : {
mark : {show: true},
dataView : {show: true, readOnly: false},
restore : {show: true},
saveAsImage : {show: true}
}
},
series : [
{
name: '2011 GDP of China',
type: 'map',
mapType: 'china',
itemStyle:{
normal:{label:{show:true}},
emphasis:{color:'rgba(104,255,104,0.5)'}
},
data:[
{name:'西藏', value:605.83},
{name:'青海', value:1670.44},
{name:'宁夏', value:2102.21},
{name:'海南', value:2522.66},
{name:'甘肃', value:5020.37},
{name:'贵州', value:5701.84},
{name:'新疆', value:6610.05},
{name:'云南', value:8893.12},
{name:'重庆', value:10011.37},
{name:'吉林', value:10568.83},
{name:'山西', value:11237.55},
{name:'天津', value:11307.28},
{name:'江西', value:11702.82},
{name:'广西', value:11720.87},
{name:'陕西', value:12512.3},
{name:'黑龙江', value:12582},
{name:'内蒙古', value:14359.88},
{name:'安徽', value:15300.65},
{name:'北京', value:16251.93},
{name:'福建', value:17560.18},
{name:'上海', value:19195.69},
{name:'湖北', value:19632.26},
{name:'湖南', value:19669.56},
{name:'四川', value:21026.68},
{name:'辽宁', value:22226.7},
{name:'河北', value:24515.76},
{name:'河南', value:26931.03},
{name:'浙江', value:32318.85},
{name:'山东', value:45361.85},
{name:'江苏', value:49110.27},
{name:'广东', value:53210.28}
]
}
]
},
dataZoom : {
title : {
text: 'Space Zoom',
subtext: 'Focus on the interested data.'
},
tooltip : {
trigger: 'axis',
formatter: function (params) {
var res = params[0].seriesName + ' ' + params[0].name;
res += '
Opening : ' + params[0].value[0] + ' Highest : ' + params[0].value[3];
res += '
Close : ' + params[0].value[1] + ' Lowest : ' + params[0].value[2];
return res;
}
},
toolbox: {
y: 'top',
orient:'vertical',
show : true,
feature : {
restore : {show: true},
dataZoom : {show: true}
}
},
dataZoom : {
show : true,
realtime: true,
start : 0,
end : 50
},
xAxis : [
{
type : 'category',
boundaryGap : true,
axisTick: {onGap:false},
data : axisData
}
],
yAxis : [
{
type : 'value',
scale:true,
splitNumber: 9,
boundaryGap: [0.05, 0.05],
splitArea : {show : true}
}
],
series : [
{
name:'Shanghai Stock Index',
type:'k',
data: kData
}
]
},
timeline : {
timeline : {
autoPlay:true,
data : [1,2,3,4,5 ],
type: 'number'
},
options : [
{
title : {
x:'right',
text: 'Mixed Timeline',
subtext: 'Expand the dimension of time.'
},
tooltip : {
trigger: 'item',
formatter: "{a}
{b} : {c} ({d}%)"
},
legend: {
orient: 'vertical',
x: 'left',
data:['Chrome','Firefox','Safari','IE9+','IE8-']
},
toolbox: {
show : true,
orient: 'vertical',
x: 'right',
y: 'center',
feature : {
mark : {show: true},
dataView : {show: true, readOnly: false},
magicType : {
show: true,
type: ['pie', 'funnel'],
option: {
funnel: {
x: '25%',
width: '50%',
funnelAlign: 'left',
max: 1700
}
}
},
restore : {show: true},
saveAsImage : {show: true}
}
},
series : [
{
name:'Browser proportion',
type:'pie',
center: ['45%', '50%'],
radius: '50%',
data:[
{value: 1 * 128 + 80, name:'Chrome'},
{value: 1 * 64 + 160, name:'Firefox'},
{value: 1 * 32 + 320, name:'Safari'},
{value: 1 * 16 + 640, name:'IE9+'},
{value: 1 * 8 + 1280, name:'IE8-'}
]
}
]
},
{
series : [
{
name:'Browser proportion',
type:'pie',
data:[
{value: 3 * 128 + 80, name:'Chrome'},
{value: 3 * 64 + 160, name:'Firefox'},
{value: 3 * 32 + 320, name:'Safari'},
{value: 3 * 16 + 640, name:'IE9+'},
{value: 3 * 8 + 1280, name:'IE8-'}
]
}
]
},
{
series : [
{
name:'Browser proportion',
type:'pie',
data:[
{value: 5 * 128 + 80, name:'Chrome'},
{value: 5 * 64 + 160, name:'Firefox'},
{value: 5 * 32 + 320, name:'Safari'},
{value: 5 * 16 + 640, name:'IE9+'},
{value: 5 * 8 + 1280, name:'IE8-'}
]
}
]
},
{
series : [
{
name:'Browser proportion',
type:'pie',
data:[
{value: 7 * 128 + 80, name:'Chrome'},
{value: 7 * 64 + 160, name:'Firefox'},
{value: 7 * 32 + 320, name:'Safari'},
{value: 7 * 16 + 640, name:'IE9+'},
{value: 7 * 8 + 1280, name:'IE8-'}
]
}
]
},
{
series : [
{
name:'Browser proportion',
type:'pie',
data:[
{value: 14 * 128 + 80, name:'Chrome'},
{value: 13 * 64 + 160, name:'Firefox'},
{value: 12 * 32 + 320, name:'Safari'},
{value: 12 * 16 + 640, name:'IE9+'},
{value: 12 * 8 + 1280, name:'IE8-'}
]
}
]
}
]
},
scatter : {
title : {
text: 'Large-scale',
subtext: 'We can show 200,000 data in one second.'
},
tooltip : {
trigger: 'item'
},
legend: {
x:'left',
y:'bottom',
data:['sin','cos']
},
toolbox: {
show : true,
feature : {
mark : {show: true},
dataZoom : {show: true},
dataView : {show: true, readOnly: false},
restore : {show: true},
saveAsImage : {show: true}
}
},
xAxis : [
{
type : 'value',
scale:true,
show: false
}
],
yAxis : [
{
type : 'value',
scale:true,
splitArea : {show : true}
}
],
series : [
{
name:'sin',
type:'scatter',
large: true,
symbol:'circle',
data: (function () {
var d = [];
var len = 5000;
var x = 0;
while (len--) {
x = (Math.random() * 8).toFixed(3) - 0;
d.push([
x,
//Math.random() * 10
(Math.sin(x) - x * (len % 2 ? 0.1 : -0.1) * Math.random()).toFixed(3) - 0
]);
}
return d;
})()
},
{
name:'cos',
type:'scatter',
large: true,
symbol:'circle',
data: (function () {
var d = [];
var len = 5000;
var x = 0;
while (len--) {
x = (Math.random() * 8).toFixed(3) - 0;
d.push([
x,
//Math.random() * 10
(Math.cos(x) - x * (len % 2 ? 0.1 : -0.1) * Math.random()).toFixed(3) - 0
]);
}
return d;
})()
}
]
},
force : {
title : {
text: 'Force-directed layout',
subtext: 'Elegant display of networks.'
},
tooltip : {
trigger: 'item',
formatter: '{a} : {b}'
},
toolbox: {
show : true,
feature : {
magicType: {show: true, type: ['force', 'chord']},
restore : {show: true}
}
},
legend: {
x:'left',
y:'bottom',
data:['Family','Friends']
},
series : [
{
type:'force',
ribbonType: false,
categories : [
{
name: '人物',
itemStyle: {
normal: {
color : '#ff7f50'
}
}
},
{
name: 'Family',
itemStyle: {
normal: {
color : '#87cdfa'
}
}
},
{
name:'Friends',
itemStyle: {
normal: {
color : '#9acd32'
}
}
}
],
itemStyle: {
normal: {
label: {
show: true,
textStyle: {
color: '#800080'
}
},
nodeStyle : {
brushType : 'both',
strokeColor : 'rgba(255,215,0,0.4)',
lineWidth : 8
}
},
emphasis: {
label: {
show: false
// textStyle: null // 默认使用全局文本样式,详见TEXTSTYLE
},
nodeStyle : {
r: 30
},
linkStyle : {}
}
},
minRadius : 15,
maxRadius : 25,
density : 0.05,
attractiveness: 1.2,
radius: '40%',
minRadius: 5,
maxRadius: 10,
nodes:[
{category:0, name: 'Steve Jobs', value : 10},
{category:1, name: 'Lisa Jobs',value : 2},
{category:1, name: 'Paul Jobs',value : 3},
{category:1, name: 'Clara Jobs',value : 3},
{category:1, name: 'Laurene Powell',value : 7},
{category:2, name: 'Steven Wozniak',value : 5},
{category:2, name: 'Obama',value : 8},
{category:2, name: 'Bill Gates',value : 9},
{category:2, name: 'Jonathan Ive',value : 4},
{category:2, name: 'Tim Cook',value : 4},
{category:2, name: 'Long Wayne',value : 1}
],
links : [
{source : 1, target : 0, weight : 1},
{source : 2, target : 0, weight : 2},
{source : 3, target : 0, weight : 1},
{source : 4, target : 0, weight : 2},
{source : 5, target : 0, weight : 3},
{source : 6, target : 0, weight : 6},
{source : 7, target : 0, weight : 6},
{source : 8, target : 0, weight : 1},
{source : 9, target : 0, weight : 1},
{source : 10, target : 0, weight : 1},
{source : 3, target : 2, weight : 1},
{source : 6, target : 2, weight : 1},
{source : 6, target : 3, weight : 1},
{source : 6, target : 4, weight : 1},
{source : 6, target : 5, weight : 1},
{source : 7, target : 6, weight : 6},
{source : 7, target : 3, weight : 1},
{source : 9, target : 6, weight : 1}
]
}
]
},
gauge :{
title : {
text: 'BI Component',
subtext: 'Show the key indicators for performance management.'
},
color : [
'rgba(255, 69, 0, 0.5)',
'rgba(255, 150, 0, 0.5)',
'rgba(255, 200, 0, 0.5)',
'rgba(155, 200, 50, 0.5)',
'rgba(55, 200, 100, 0.5)'
],
tooltip : {
trigger: 'item',
formatter: "{a}
{b} : {c}%"
},
series : [
{
name:'Key',
type:'gauge',
center : ['50%', '60%'], // 默认全局居中
radius : '80%',
startAngle: 225,
endAngle : -45,
splitNumber: 10, // 分割段数,默认为5
axisLine: { // 坐标轴线
lineStyle: { // 属性lineStyle控制线条样式
color: [[0.2, '#228b22'],[0.8, '#48b'],[1, 'rgb(255, 80, 20)']],
width: 8
}
},
axisTick: { // 坐标轴小标记
splitNumber: 10, // 每份split细分多少段
length :12, // 属性length控制线长
lineStyle: { // 属性lineStyle控制线条样式
color: 'auto'
}
},
axisLabel: { // 坐标轴文本标签,详见axis.axisLabel
textStyle: { // 其余属性默认使用全局文本样式,详见TEXTSTYLE
color: 'auto'
}
},
splitLine: { // 分隔线
show: true, // 默认显示,属性show控制显示与否
length :30, // 属性length控制线长
lineStyle: { // 属性lineStyle(详见lineStyle)控制线条样式
color: 'auto'
}
},
pointer : {
width : 5,
color: 'auto'
},
title : {
show : true,
offsetCenter: [0, '-30%'], // x, y,单位px
textStyle: { // 其余属性默认使用全局文本样式,详见TEXTSTYLE
fontWeight: 'bolder'
}
},
detail : {
formatter:'{value}%',
offsetCenter: [0, '40%'],
textStyle: { // 其余属性默认使用全局文本样式,详见TEXTSTYLE
color: 'auto',
fontWeight: 'bolder'
}
},
data:[{value: 85, name: 'Completion\nRate'}]
}
]
},
funnel :{
title : {
text: 'BI Component',
subtext: 'Funnel plot is widely used in marketing analysis.'
},
color : [
'rgba(255, 69, 0, 0.5)',
'rgba(255, 150, 0, 0.5)',
'rgba(255, 200, 0, 0.5)',
'rgba(155, 200, 50, 0.5)',
'rgba(55, 200, 100, 0.5)'
],
tooltip : {
trigger: 'item',
formatter: "{a}
{b} : {c}%"
},
legend: {
y: 'bottom',
data : ['view','click','visit','', 'consult','order']
},
series : [
{
name:'Expect',
type:'funnel',
y: 60,
x2: 80,
itemStyle: {
normal: {
label: {
formatter: '{b} Expect'
},
labelLine: {
show : false
}
},
emphasis: {
label: {
position:'inside',
formatter: '{b} Expect : {c}%'
}
}
},
data:[
{value:60, name:'visit'},
{value:40, name:'consult'},
{value:20, name:'order'},
{value:80, name:'click'},
{value:100, name:'view'}
]
},
{
name:'Actual',
type:'funnel',
y: 60,
x2: 80,
maxSize: '80%',
itemStyle: {
normal: {
borderColor: '#fff',
borderWidth: 2,
label: {
position: 'inside',
formatter: '{c}%',
textStyle: {
color: '#fff'
}
}
},
emphasis: {
label: {
position:'inside',
formatter: '{b} Actual : {c}%'
}
}
},
data:[
{value:30, name:'visit'},
{value:10, name:'consult'},
{value:5, name:'order'},
{value:50, name:'click'},
{value:80, name:'view'}
]
}
]
},
mix :(function(){
// original
var data = [30, 20, 54, 21, 90, 30, 10];
var gap = 0;
var total = 0;
var maxIndex;
var dataArray = (function(){
var max = Math.max.apply(Math, data);
var min = Math.min.apply(Math, data);
gap = Math.round((max - min));
var nd = [{value:data[0] + gap,symbol:'none'}];
for (var i = 0, l = data.length; i < l; i++) {
if (data[i] == max) {
maxIndex = i;
}
total += data[i];
nd.push(data[i] + gap);
}
nd.push({value:data[data.length - 1] + gap,symbol:'none'});
return nd;
})();
var option = {
backgroundColor:'#fff',
title : {
text: 'Mixed Charts',
subtext: 'Show the best mashup to your data.',
x: 'center'
},
legend: {
data:['Sale', 'Percentage'],
y: 50,
selectedMode: false
},
tooltip : {
trigger: 'item',
formatter: function(params){
if (params.seriesName == 'Percentage') {
return 'Sale : ' + total + '
'
+ params.name + ' : ' + params.value + '
'
+ 'Percentage : ' + params.percent + '%';
}
else if (params.name != 'Percentage'){
update(params);
return params.seriesName + '
'
+ params.name + ' : ' + params.value;
}
},
axisPointer: {
type: 'none'
}
},
toolbox: {
show : true,
feature : {
saveAsImage : {show: true}
}
},
grid:{
backgroundColor:'#ccc',
borderWidth:0,
x: 40,
x2: 50,
},
xAxis : [
{
type : 'category',
boundaryGap : false,
show : false,
data : ['placeHolder','Mon','Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun','placeHolder']
}
],
yAxis : [
{
type : 'value',
boundaryGap:[0,0.5],
show : false
}
],
animation: false,
series : [
{
name:'Sale',
type:'line',
symbol: 'emptyCircle',
symbolSize: 6,
showAllSymbol:true,
smooth:true,
itemStyle: {normal: {areaStyle: {type: 'default'}}},
data: dataArray
},
{
name:'placeHolder',
type:'pie',
tooltip: {show:false},
radius : [100, 600],
itemStyle: {
normal: {color: '#fff',label:{show:false},labelLine:{show:false}},
emphasis: {color:'rgba(0,0,0,0)'}
},
data:[
{value:100, name:'placeHolder'}
]
},
{
name:'Percentage',
type:'pie',
clickable: false,
clockWise: true,
radius : [110, 125],
data:[
{
itemStyle: {normal: {
label:{
position:'inside',
formatter: '\n{b} : {c}\n( {d}% )',
textStyle: {
fontSize: 15,
baseline: 'top',
color: '#1e90ff'
}
},
labelLine:{show:false}
}}
},
{
name:'Other',
tooltip: {show:false},
itemStyle: {normal: {color: '#fff',label:{show:false},labelLine:{show:false}}}
}
]
}
]
};
function changePieSeries(params) {
var curData = params.value - gap;
option.series[2].startAngle = -90 + (curData / total * 360) / 2;
option.series[2].data[0].name = params.name;
option.series[2].data[0].value = curData;
option.series[2].data[1].value = total - curData;
for (var i = 1, l = option.series[0].data.length - 1; i < l; i++) {
if (option.series[0].data[i].symbol) {
option.series[0].data[i].symbol = 'emptyCircle';
option.series[0].data[i].symbolSize = 6;
}
}
option.series[0].data[params.dataIndex] = {
name : params.name,
value : params.value,
symbol: 'emptyDiamond',
symbolSize: 10
}
}
function update(params){
changePieSeries(params);
option.animation = true;
myChart.setOption(option);
}
changePieSeries({
name : option.xAxis[0].data[maxIndex + 1],
value : option.series[0].data[maxIndex + 1],
dataIndex: maxIndex + 1
});
return option;
})(),
effect2: {
title : {
text: 'Glare Effect',
subtext: 'Ability to attract the eye.'
},
color: ['gold','aqua','lime'],
tooltip : {
trigger: 'item',
formatter: '{b}'
},
legend: {
y: 'bottom',
data:['Beijing', 'Shanghai', 'Guangzhou'],
selectedMode: 'single',
selected:{
'Shanghai' : false,
'Guangzhou' : false
}
},
toolbox: {
show : true,
x: 'right',
y: 'top',
feature : {
mark : {show: true},
dataView : {show: true, readOnly: false},
restore : {show: true},
saveAsImage : {show: true}
}
},
dataRange: {
min : 0,
max : 100,
calculable : true,
realtime: false,
x: 'left',
color: ['#ff3333', 'orange', 'yellow','lime','aqua']
},
series : [
{
name: '全国',
type: 'map',
roam: true,
hoverable: false,
mapType: 'china',
itemStyle:{
normal:{
borderColor:'rgba(100,149,237,1)',
borderWidth:0.5,
areaStyle:{
color: '#1b1b1b'
}
}
},
data:[],
markLine : {
smooth:true,
symbol: ['none', 'circle'],
symbolSize : 1,
itemStyle : {
normal: {
color:'#fff',
borderWidth:1,
borderColor:'rgba(30,144,255,0.5)'
}
},
data : [
[{name:'北京'},{name:'包头'}],
[{name:'北京'},{name:'北海'}],
[{name:'北京'},{name:'武汉'}],
[{name:'北京'},{name:'无锡'}],
[{name:'北京'},{name:'厦门'}],
[{name:'北京'},{name:'西宁'}],
[{name:'北京'},{name:'徐州'}],
[{name:'北京'},{name:'烟台'}],
[{name:'北京'},{name:'盐城'}],
[{name:'北京'},{name:'珠海'}],
[{name:'上海'},{name:'包头'}],
[{name:'上海'},{name:'北海'}],
[{name:'上海'},{name:'广州'}],
[{name:'上海'},{name:'郑州'}],
[{name:'上海'},{name:'长春'}],
[{name:'上海'},{name:'重庆'}],
[{name:'上海'},{name:'北京'}],
[{name:'上海'},{name:'沈阳'}],
[{name:'上海'},{name:'秦皇岛'}],
[{name:'上海'},{name:'西安'}],
[{name:'上海'},{name:'石家庄'}],
[{name:'上海'},{name:'温州'}],
[{name:'上海'},{name:'武汉'}],
[{name:'上海'},{name:'厦门'}],
[{name:'上海'},{name:'西宁'}],
[{name:'上海'},{name:'徐州'}],
[{name:'上海'},{name:'烟台'}],
[{name:'上海'},{name:'珠海'}],
[{name:'广州'},{name:'北海'}],
[{name:'广州'},{name:'郑州'}],
[{name:'广州'},{name:'长春'}],
[{name:'广州'},{name:'重庆'}],
[{name:'广州'},{name:'太原'}],
[{name:'广州'},{name:'乌鲁木齐'}],
[{name:'广州'},{name:'温州'}],
[{name:'广州'},{name:'武汉'}],
[{name:'广州'},{name:'无锡'}],
[{name:'广州'},{name:'厦门'}],
[{name:'广州'},{name:'西宁'}],
[{name:'广州'},{name:'徐州'}],
[{name:'广州'},{name:'烟台'}],
[{name:'广州'},{name:'盐城'}]
],
},
geoCoord: {
'上海': [121.4648,31.2891],
'东莞': [113.8953,22.901],
'东营': [118.7073,37.5513],
'中山': [113.4229,22.478],
'临汾': [111.4783,36.1615],
'临沂': [118.3118,35.2936],
'丹东': [124.541,40.4242],
'丽水': [119.5642,28.1854],
'乌鲁木齐': [87.9236,43.5883],
'佛山': [112.8955,23.1097],
'保定': [115.0488,39.0948],
'兰州': [103.5901,36.3043],
'包头': [110.3467,41.4899],
'北京': [116.4551,40.2539],
'北海': [109.314,21.6211],
'南京': [118.8062,31.9208],
'南宁': [108.479,23.1152],
'南昌': [116.0046,28.6633],
'南通': [121.1023,32.1625],
'厦门': [118.1689,24.6478],
'台州': [121.1353,28.6688],
'合肥': [117.29,32.0581],
'呼和浩特': [111.4124,40.4901],
'咸阳': [108.4131,34.8706],
'哈尔滨': [127.9688,45.368],
'唐山': [118.4766,39.6826],
'嘉兴': [120.9155,30.6354],
'大同': [113.7854,39.8035],
'大连': [122.2229,39.4409],
'天津': [117.4219,39.4189],
'太原': [112.3352,37.9413],
'威海': [121.9482,37.1393],
'宁波': [121.5967,29.6466],
'宝鸡': [107.1826,34.3433],
'宿迁': [118.5535,33.7775],
'常州': [119.4543,31.5582],
'广州': [113.5107,23.2196],
'廊坊': [116.521,39.0509],
'延安': [109.1052,36.4252],
'张家口': [115.1477,40.8527],
'徐州': [117.5208,34.3268],
'德州': [116.6858,37.2107],
'惠州': [114.6204,23.1647],
'成都': [103.9526,30.7617],
'扬州': [119.4653,32.8162],
'承德': [117.5757,41.4075],
'拉萨': [91.1865,30.1465],
'无锡': [120.3442,31.5527],
'日照': [119.2786,35.5023],
'昆明': [102.9199,25.4663],
'杭州': [119.5313,29.8773],
'枣庄': [117.323,34.8926],
'柳州': [109.3799,24.9774],
'株洲': [113.5327,27.0319],
'武汉': [114.3896,30.6628],
'汕头': [117.1692,23.3405],
'江门': [112.6318,22.1484],
'沈阳': [123.1238,42.1216],
'沧州': [116.8286,38.2104],
'河源': [114.917,23.9722],
'泉州': [118.3228,25.1147],
'泰安': [117.0264,36.0516],
'泰州': [120.0586,32.5525],
'济南': [117.1582,36.8701],
'济宁': [116.8286,35.3375],
'海口': [110.3893,19.8516],
'淄博': [118.0371,36.6064],
'淮安': [118.927,33.4039],
'深圳': [114.5435,22.5439],
'清远': [112.9175,24.3292],
'温州': [120.498,27.8119],
'渭南': [109.7864,35.0299],
'湖州': [119.8608,30.7782],
'湘潭': [112.5439,27.7075],
'滨州': [117.8174,37.4963],
'潍坊': [119.0918,36.524],
'烟台': [120.7397,37.5128],
'玉溪': [101.9312,23.8898],
'珠海': [113.7305,22.1155],
'盐城': [120.2234,33.5577],
'盘锦': [121.9482,41.0449],
'石家庄': [114.4995,38.1006],
'福州': [119.4543,25.9222],
'秦皇岛': [119.2126,40.0232],
'绍兴': [120.564,29.7565],
'聊城': [115.9167,36.4032],
'肇庆': [112.1265,23.5822],
'舟山': [122.2559,30.2234],
'苏州': [120.6519,31.3989],
'莱芜': [117.6526,36.2714],
'菏泽': [115.6201,35.2057],
'营口': [122.4316,40.4297],
'葫芦岛': [120.1575,40.578],
'衡水': [115.8838,37.7161],
'衢州': [118.6853,28.8666],
'西宁': [101.4038,36.8207],
'西安': [109.1162,34.2004],
'贵阳': [106.6992,26.7682],
'连云港': [119.1248,34.552],
'邢台': [114.8071,37.2821],
'邯郸': [114.4775,36.535],
'郑州': [113.4668,34.6234],
'鄂尔多斯': [108.9734,39.2487],
'重庆': [107.7539,30.1904],
'金华': [120.0037,29.1028],
'铜川': [109.0393,35.1947],
'银川': [106.3586,38.1775],
'镇江': [119.4763,31.9702],
'长春': [125.8154,44.2584],
'长沙': [113.0823,28.2568],
'长治': [112.8625,36.4746],
'阳泉': [113.4778,38.0951],
'青岛': [120.4651,36.3373],
'韶关': [113.7964,24.7028]
}
},
{
name: 'Beijing',
type: 'map',
mapType: 'china',
data:[],
markLine : {
smooth:true,
effect : {
show: true,
scaleSize: 1,
period: 30,
color: '#fff',
shadowBlur: 10
},
itemStyle : {
normal: {
borderWidth:1,
lineStyle: {
type: 'solid',
shadowBlur: 10
}
}
},
data : [
[{name:'北京'}, {name:'上海',value:95}],
[{name:'北京'}, {name:'广州',value:90}],
[{name:'北京'}, {name:'大连',value:80}],
[{name:'北京'}, {name:'南宁',value:70}],
[{name:'北京'}, {name:'南昌',value:60}],
[{name:'北京'}, {name:'拉萨',value:50}],
[{name:'北京'}, {name:'长春',value:40}],
[{name:'北京'}, {name:'包头',value:30}],
[{name:'北京'}, {name:'重庆',value:20}],
[{name:'北京'}, {name:'常州',value:10}]
]
},
markPoint : {
symbol:'emptyCircle',
symbolSize : function (v){
return 10 + v/10
},
effect : {
show: true,
shadowBlur : 0
},
itemStyle:{
normal:{
label:{show:false}
},
emphasis: {
label:{position:'top'}
}
},
data : [
{name:'上海',value:95},
{name:'广州',value:90},
{name:'大连',value:80},
{name:'南宁',value:70},
{name:'南昌',value:60},
{name:'拉萨',value:50},
{name:'长春',value:40},
{name:'包头',value:30},
{name:'重庆',value:20},
{name:'常州',value:10}
]
}
},
{
name: 'Shanghai',
type: 'map',
mapType: 'china',
data:[],
markLine : {
smooth:true,
effect : {
show: true,
scaleSize: 1,
period: 30,
color: '#fff',
shadowBlur: 10
},
itemStyle : {
normal: {
borderWidth:1,
lineStyle: {
type: 'solid',
shadowBlur: 10
}
}
},
data : [
[{name:'上海'},{name:'包头',value:95}],
[{name:'上海'},{name:'昆明',value:90}],
[{name:'上海'},{name:'广州',value:80}],
[{name:'上海'},{name:'郑州',value:70}],
[{name:'上海'},{name:'长春',value:60}],
[{name:'上海'},{name:'重庆',value:50}],
[{name:'上海'},{name:'长沙',value:40}],
[{name:'上海'},{name:'北京',value:30}],
[{name:'上海'},{name:'丹东',value:20}],
[{name:'上海'},{name:'大连',value:10}]
]
},
markPoint : {
symbol:'emptyCircle',
symbolSize : function (v){
return 10 + v/10
},
effect : {
show: true,
shadowBlur : 0
},
itemStyle:{
normal:{
label:{show:false}
},
emphasis: {
label:{position:'top'}
}
},
data : [
{name:'包头',value:95},
{name:'昆明',value:90},
{name:'广州',value:80},
{name:'郑州',value:70},
{name:'长春',value:60},
{name:'重庆',value:50},
{name:'长沙',value:40},
{name:'北京',value:30},
{name:'丹东',value:20},
{name:'大连',value:10}
]
}
},
{
name: 'Guangzhou',
type: 'map',
mapType: 'china',
data:[],
markLine : {
smooth:true,
effect : {
show: true,
scaleSize: 1,
period: 30,
color: '#fff',
shadowBlur: 10
},
itemStyle : {
normal: {
borderWidth:1,
lineStyle: {
type: 'solid',
shadowBlur: 10
}
}
},
data : [
[{name:'广州'},{name:'福州',value:95}],
[{name:'广州'},{name:'太原',value:90}],
[{name:'广州'},{name:'长春',value:80}],
[{name:'广州'},{name:'重庆',value:70}],
[{name:'广州'},{name:'西安',value:60}],
[{name:'广州'},{name:'成都',value:50}],
[{name:'广州'},{name:'常州',value:40}],
[{name:'广州'},{name:'北京',value:30}],
[{name:'广州'},{name:'北海',value:20}],
[{name:'广州'},{name:'海口',value:10}]
]
},
markPoint : {
symbol:'emptyCircle',
symbolSize : function (v){
return 10 + v/10
},
effect : {
show: true,
shadowBlur : 0
},
itemStyle:{
normal:{
label:{show:false}
},
emphasis: {
label:{position:'top'}
}
},
data : [
{name:'福州',value:95},
{name:'太原',value:90},
{name:'长春',value:80},
{name:'重庆',value:70},
{name:'西安',value:60},
{name:'成都',value:50},
{name:'常州',value:40},
{name:'北京',value:30},
{name:'北海',value:20},
{name:'海口',value:10}
]
}
}
]
},
effect3:{
title : {
text: 'Glare Effect',
subtext: 'Ability to attract the eye'
},
color: [
'rgba(250, 250, 210, 0.8)',
'rgba(14, 241, 242, 0.8)',
'rgba(37, 140, 249, 0.8)'
],
legend: {
y:'bottom',
data:['high','middle','low']
},
toolbox: {
show : true,
x: 'right',
y: 'top',
feature : {
mark : {show: true},
dataView : {show: true, readOnly: false},
restore : {show: true},
saveAsImage : {show: true}
}
},
series : [
{
name: 'low',
type: 'map',
mapType: 'china',
itemStyle:{
normal:{
borderColor:'rgba(100,149,237,1)',
borderWidth:1.5,
areaStyle:{
color: '#1b1b1b'
}
}
},
data : [],
markPoint : {
symbolSize: 2,
large: true,
effect : {
show: true
},
data : (function(){
var data = [];
var len = 2000;
var geoCoord
while(len--) {
geoCoord = placeList[len % placeList.length].geoCoord;
data.push({
name : placeList[len % placeList.length].name + len,
value : 10,
geoCoord : [
geoCoord[0] + Math.random() * 5 * -1,
geoCoord[1] + Math.random() * 3 * -1
]
})
}
return data;
})()
}
},
{
name: 'middle',
type: 'map',
mapType: 'china',
data : [],
markPoint : {
symbolSize: 3,
large: true,
effect : {
show: true
},
data : (function(){
var data = [];
var len = 500;
var geoCoord
while(len--) {
geoCoord = placeList[len % placeList.length].geoCoord;
data.push({
name : placeList[len % placeList.length].name + len,
value : 50,
geoCoord : [
geoCoord[0] + Math.random() * 5 * -1,
geoCoord[1] + Math.random() * 3 * -1
]
})
}
return data;
})()
}
},
{
name: 'high',
type: 'map',
mapType: 'china',
hoverable: false,
roam:true,
data : [],
markPoint : {
symbol : 'diamond',
symbolSize: 6,
large: true,
effect : {
show: true
},
data : (function(){
var data = [];
var len = placeList.length;
while(len--) {
data.push({
name : placeList[len].name,
value : 90,
geoCoord : placeList[len].geoCoord
})
}
return data;
})()
}
}
]
}
}
function initChart(index) {
disposeChart();
var dom = $('section.active .main')[0];
if (dom) {
var key = $(dom).attr('optionKey');
myChart = echarts.init(dom, 'infographic');
myChart.setOption(optionMap[key]);
}
}
function disposeChart() {
if (myChart) {
myChart.dispose();
myChart = null;
}
}
require.config({
paths:{
echarts: './js/dist',
}
});
$(function(){
require(
[
'echarts',
'echarts/chart/line',
'echarts/chart/bar',
'echarts/chart/scatter',
'echarts/chart/k',
'echarts/chart/pie',
'echarts/chart/force',
'echarts/chart/chord',
'echarts/chart/map',
'echarts/chart/gauge',
'echarts/chart/funnel'
],
function (ec) {
echarts = ec;
resize();
$('.page div').click(pageHandler);
window.onresize = function(){
resize();
}
}
);
});
function resize() {
var height = document.documentElement.clientHeight - 50 + 'px';
var width = document.documentElement.clientWidth + 'px';
$('#content').height(height).width(width);
$('.section').height(height).width(width);
$('.main').height(document.documentElement.clientHeight - 65 + 'px');
myChart && myChart.resize();
}
function bindPageHandler() {
}
function pageHandler() {
var upOrdown = $(this)[0].className;
if (upOrdown == 'page-down') {
if ($(this).html() == 'Again') {
window.location.reload();
return;
}
if (!$('.active').removeClass('active').css('left', '-100%')
.next().addClass('active').css('left', 0).next()[0]
) {
$(this).html('Again');
}
else {
$(this).html('Next 》');
}
$(this).prev().removeClass('disabled');
}
else if (upOrdown == 'page-up') {
!$('.active').removeClass('active').css('left', '100%')
.prev().addClass('active').css('left', 0).prev()[0]
&& $(this).addClass('disabled');
$(this).next().removeClass('disabled').html('Next 》');
}
initChart();
}
if (document.location.href.indexOf('local') == -1) {
var _bdhmProtocol = (("https:" == document.location.protocol) ? " https://" : " http://");
document.write(unescape("%3Cscript src='" + _bdhmProtocol + "hm.baidu.com/h.js%3Fb78830c9a5dad062d08b90b2bc0cf5da' type='text/javascript'%3E%3C/script%3E"));
}