| 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192939495969798991001011021031041051061071081091101111121131141151161171181191201211221231241251261271281291301311321331341351361371381391401411421431441451461471481491501511521531541551561571581591601611621631641651661671681691701711721731741751761771781791801811821831841851861871881891901911921931941951961971981992002012022032042052062072082092102112122132142152162172182192202212222232242252262272282292302312322332342352362372382392402412422432442452462472482492502512522532542552562572582592602612622632642652662672682692702712722732742752762772782792802812822832842852862872882892902912922932942952962972982993003013023033043053063073083093103113123133143153163173183193203213223233243253263273283293303313323333343353363373383393403413423433443453463473483493503513523533543553563573583593603613623633643653663673683693703713723733743753763773783793803813823833843853863873883893903913923933943953963973983994004014024034044054064074084094104114124134144154164174184194204214224234244254264274284294304314324334344354364374384394404414424434444454464474484494504514524534544554564574584594604614624634644654664674684694704714724734744754764774784794804814824834844854864874884894904914924934944954964974984995005015025035045055065075085095105115125135145155165175185195205215225235245255265275285295305315325335345355365375385395405415425435445455465475485495505515525535545555565575585595605615625635645655665675685695705715725735745755765775785795805815825835845855865875885895905915925935945955965975985996006016026036046056066076086096106116126136146156166176186196206216226236246256266276286296306316326336346356366376386396406416426436446456466476486496506516526536546556566576586596606616626636646656666676686696706716726736746756766776786796806816826836846856866876886896906916926936946956966976986997007017027037047057067077087097107117127137147157167177187197207217227237247257267277287297307317327337347357367377387397407417427437447457467477487497507517527537547557567577587597607617627637647657667677687697707717727737747757767777787797807817827837847857867877887897907917927937947957967977987998008018028038048058068078088098108118128138148158168178188198208218228238248258268278288298308318328338348358368378388398408418428438448458468478488498508518528538548558568578588598608618628638648658668678688698708718728738748758768778788798808818828838848858868878888898908918928938948958968978988999009019029039049059069079089099109119129139149159169179189199209219229239249259269279289299309319329339349359369379389399409419429439449459469479489499509519529539549559569579589599609619629639649659669679689699709719729739749759769779789799809819829839849859869879889899909919929939949959969979989991000100110021003100410051006100710081009101010111012101310141015101610171018101910201021102210231024102510261027102810291030103110321033103410351036103710381039104010411042104310441045104610471048104910501051105210531054105510561057105810591060106110621063106410651066106710681069107010711072107310741075107610771078107910801081108210831084108510861087108810891090109110921093109410951096109710981099110011011102110311041105110611071108110911101111111211131114111511161117111811191120112111221123112411251126112711281129113011311132113311341135113611371138113911401141114211431144114511461147114811491150115111521153115411551156115711581159116011611162116311641165116611671168116911701171117211731174117511761177117811791180118111821183118411851186118711881189119011911192119311941195119611971198119912001201120212031204120512061207120812091210121112121213121412151216121712181219122012211222122312241225122612271228122912301231123212331234123512361237123812391240124112421243124412451246124712481249125012511252125312541255125612571258125912601261126212631264126512661267126812691270127112721273127412751276127712781279128012811282128312841285128612871288128912901291129212931294129512961297129812991300130113021303130413051306130713081309131013111312131313141315131613171318131913201321132213231324132513261327132813291330133113321333133413351336133713381339134013411342134313441345134613471348134913501351135213531354135513561357135813591360136113621363136413651366136713681369137013711372137313741375137613771378137913801381138213831384138513861387138813891390139113921393139413951396139713981399140014011402140314041405140614071408140914101411141214131414141514161417141814191420142114221423142414251426142714281429143014311432143314341435143614371438143914401441144214431444144514461447144814491450145114521453145414551456145714581459146014611462146314641465146614671468146914701471147214731474147514761477147814791480148114821483148414851486148714881489149014911492149314941495149614971498149915001501150215031504150515061507150815091510151115121513151415151516151715181519152015211522152315241525152615271528152915301531153215331534153515361537153815391540154115421543154415451546154715481549155015511552155315541555155615571558155915601561156215631564156515661567156815691570157115721573157415751576157715781579158015811582158315841585158615871588158915901591159215931594159515961597159815991600160116021603160416051606160716081609161016111612161316141615161616171618161916201621162216231624162516261627162816291630163116321633163416351636163716381639164016411642164316441645164616471648164916501651165216531654165516561657165816591660166116621663166416651666166716681669167016711672167316741675167616771678167916801681168216831684168516861687168816891690169116921693169416951696169716981699170017011702170317041705170617071708170917101711171217131714171517161717171817191720172117221723172417251726172717281729173017311732173317341735173617371738173917401741174217431744174517461747174817491750175117521753175417551756175717581759176017611762176317641765176617671768176917701771177217731774177517761777177817791780178117821783178417851786178717881789179017911792179317941795179617971798179918001801180218031804180518061807180818091810181118121813181418151816181718181819182018211822182318241825182618271828 | 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: '【拖拽重计算】',            subtext: '试试把你关心的数据图形拖拽到一起'        },        tooltip : {            trigger: 'item',            formatter: "{a} <br/>{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:'浏览器占比',                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: '【动态类型切换】',            subtext: '切换图表类型会让您对这份数据有更多的解读'        },        tooltip : {            trigger: 'axis'        },        legend: {            y: 60,            data:['意向','预购','成交']        },        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 : ['周一','周二','周三','周四','周五','周六','周日']            }        ],        yAxis : [            {                type : 'value'            }        ],        series : [            {                name:'意向',                type:'bar',                smooth:true,                itemStyle: {normal: {areaStyle: {type: 'default'}}},                data:[1320, 1132, 601, 234, 120, 90, 20]            },            {                name:'预购',                type:'bar',                smooth:true,                itemStyle: {normal: {areaStyle: {type: 'default'}}},                data:[30, 182, 434, 791, 390, 30, 10]            },            {                name:'成交',                type:'bar',                smooth:true,                itemStyle: {normal: {areaStyle: {type: 'default'}}},                data:[10, 12, 21, 54, 260, 830, 710]            }        ]    },    dataRange : {        title : {            text: '【值域漫游】',            subtext: '聚焦到你所关心的数值上'        },        tooltip : {            trigger: 'item'        },        dataRange: {            min: 0,            max: 55000,            x: 'left',            text:['高','低'],           // 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全国GDP',                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: '【数据区域缩放】',            subtext: '聚焦到你所关心的数据上'        },        tooltip : {            trigger: 'axis',            formatter: function (params) {                var res = params[0].seriesName + ' ' + params[0].name;                res += '<br/>  开盘 : ' + params[0].value[0] + '  最高 : ' + params[0].value[3];                res += '<br/>  收盘 : ' + params[0].value[1] + '  最低 : ' + 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:'上证指数',                type:'k',                data: kData            }        ]    },    timeline : {        timeline : {            autoPlay:true,            data : [1,2,3,4,5 ],            type: 'number'        },        options : [            {                title : {                    x:'right',                    text: '【百搭时间轴】',                    subtext: '时间维度的拓展    '                },                tooltip : {                    trigger: 'item',                    formatter: "{a} <br/>{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:'浏览器(数据纯属虚构)',                        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:'浏览器(数据纯属虚构)',                        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:'浏览器(数据纯属虚构)',                        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:'浏览器(数据纯属虚构)',                        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:'浏览器(数据纯属虚构)',                        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: '【大规模散点】',            subtext: '现代浏览器就足以展现百万级数据'        },        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: '【力导向布局】',            subtext: '复杂关系网络的最美呈现'        },        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:['家人','朋友']        },        series : [            {                type:'force',                ribbonType: false,                categories : [                    {                        name: '人物',                        itemStyle: {                            normal: {                                color : '#ff7f50'                            }                        }                    },                    {                        name: '家人',                        itemStyle: {                            normal: {                                color : '#87cdfa'                            }                        }                    },                    {                        name:'朋友',                        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: '乔布斯', value : 10},                    {category:1, name: '丽萨-乔布斯',value : 2},                    {category:1, name: '保罗-乔布斯',value : 3},                    {category:1, name: '克拉拉-乔布斯',value : 3},                    {category:1, name: '劳伦-鲍威尔',value : 7},                    {category:2, name: '史蒂夫-沃兹尼艾克',value : 5},                    {category:2, name: '奥巴马',value : 8},                    {category:2, name: '比尔-盖茨',value : 9},                    {category:2, name: '乔纳森-艾夫',value : 4},                    {category:2, name: '蒂姆-库克',value : 4},                    {category:2, name: '龙-韦恩',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: '【商业BI】',            subtext: '显示关键性能指标以辅助于绩效管理'        },        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} <br/>{b} : {c}%"        },        series : [            {                name:'业务指标',                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: '完成率'}]            }        ]    },    funnel :{        title : {            text: '【商业BI】',            subtext: '漏斗图在营销分析中广泛使用'        },        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} <br/>{b} : {c}%"        },        legend: {            y: 'bottom',            data : ['展现','点击','访问','','咨询','订单']        },        series : [            {                name:'预期',                type:'funnel',                y: 60,                x2: 70,                itemStyle: {                    normal: {                        label: {                            formatter: '{b}预期'                        },                        labelLine: {                            show : false                        }                    },                    emphasis: {                        label: {                            position:'inside',                            formatter: '{b}预期 : {c}%'                        }                    }                },                data:[                    {value:60, name:'访问'},                    {value:40, name:'咨询'},                    {value:20, name:'订单'},                    {value:80, name:'点击'},                    {value:100, name:'展现'}                ]            },            {                name:'实际',                type:'funnel',                y: 60,                x2: 70,                maxSize: '80%',                itemStyle: {                    normal: {                        borderColor: '#fff',                        borderWidth: 2,                        label: {                            position: 'inside',                            formatter: '{c}%',                            textStyle: {                                color: '#fff'                            }                        }                    },                    emphasis: {                        label: {                            position:'inside',                            formatter: '{b}实际 : {c}%'                        }                    }                },                data:[                    {value:30, name:'访问'},                    {value:10, name:'咨询'},                    {value:5, name:'订单'},                    {value:50, name:'点击'},                    {value:80, name:'展现'}                ]            }        ]    },    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: '【混搭】',                subtext: '尽情发挥你的天马行空的创意',                x: 'center'            },            legend: {                data:['销量', '占比'],                y: 50,                selectedMode: false            },            tooltip : {                trigger: 'item',                formatter: function(params){                    if (params.seriesName == '占比') {                        return '总量 : ' + total + '<br/>'                               + params.name + ' : ' + params.value + '<br/>'                               + '占比 : ' +  params.percent + '%';                    }                    else if (params.name != '占位'){                        update(params);                        return params.seriesName + '<br/>'                               + 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 : ['占位','周一','周二','周三','周四','周五','周六','周日','占位']                }            ],            yAxis : [                {                    type : 'value',                    boundaryGap:[0,0.5],                    show : false                }            ],            animation: false,            series : [                {                    name:'销量',                    type:'line',                    symbol: 'emptyCircle',                    symbolSize: 6,                    showAllSymbol:true,                    smooth:true,                    itemStyle: {normal: {areaStyle: {type: 'default'}}},                    data: dataArray                },                {                    name:'遮罩',                    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:'直接访问'}                    ]                },                {                    name:'占比',                    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:'其他',                          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: '【特效】',            subtext: '轻松实现百度迁徙数据可视化特效'        },        color: ['gold','aqua','lime'],        tooltip : {            trigger: 'item',            formatter: '{b}'        },        legend: {            y: 'bottom',            data:['北京', '上海', '广州'],            selectedMode: 'single',            selected:{                '上海' : false,                '广州' : 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: '北京',                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: '上海',                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: '广州',                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: '【特效】',            subtext: '大规模炫光特效'        },        color: [            'rgba(250, 250, 210, 0.8)',            'rgba(14, 241, 242, 0.8)',            'rgba(37, 140, 249, 0.8)'        ],        legend: {            y:'bottom',            data:['强','中','弱']        },        toolbox: {            show : true,            x: 'right',            y: 'top',            feature : {                mark : {show: true},                dataView : {show: true, readOnly: false},                restore : {show: true},                saveAsImage : {show: true}            }        },        series : [            {                name: '弱',                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: '中',                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: '强',                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() == '再看一次') {            window.location.reload();            return;        }        if (!$('.active').removeClass('active').css('left', '-100%')                         .next().addClass('active').css('left', 0).next()[0]        ) {            $(this).html('再看一次');        }        else {            $(this).html('下一页');        }        $(this).prev().removeClass('disabled');    }    else if (upOrdown == 'page-up') {        !$('.active').removeClass('active').css('left', '100%')                     .prev().addClass('active').css('left', 0).prev()[0]        && $(this).addClass('disabled');        $(this).next().removeClass('disabled').html('下一页');    }    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"));   }
 |