1828 lines
68 KiB
JavaScript
1828 lines
68 KiB
JavaScript
var myChart;
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var axisData = [
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"2013/1/24", "2013/1/25", "2013/1/28", "2013/1/29", "2013/1/30",
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"2013/1/31", "2013/2/1", "2013/2/4", "2013/2/5", "2013/2/6",
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"2013/2/7", "2013/2/8", "2013/2/18", "2013/2/19", "2013/2/20",
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"2013/2/21", "2013/2/22", "2013/2/25", "2013/2/26", "2013/2/27",
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"2013/2/28", "2013/3/1", "2013/3/4", "2013/3/5", "2013/3/6",
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"2013/3/7", "2013/3/8", "2013/3/11", "2013/3/12", "2013/3/13",
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"2013/3/14", "2013/3/15", "2013/3/18", "2013/3/19", "2013/3/20",
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"2013/3/21", "2013/3/22", "2013/3/25", "2013/3/26", "2013/3/27",
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"2013/3/28", "2013/3/29", "2013/4/1", "2013/4/2", "2013/4/3",
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"2013/4/8", "2013/4/9", "2013/4/10", "2013/4/11", "2013/4/12",
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"2013/4/15", "2013/4/16", "2013/4/17", "2013/4/18", "2013/4/19",
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"2013/4/22", "2013/4/23", "2013/4/24", "2013/4/25", "2013/4/26",
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"2013/5/2", "2013/5/3", "2013/5/6", "2013/5/7", "2013/5/8",
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"2013/5/9", "2013/5/10", "2013/5/13", "2013/5/14", "2013/5/15",
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"2013/5/16", "2013/5/17", "2013/5/20", "2013/5/21", "2013/5/22",
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"2013/5/23", "2013/5/24", "2013/5/27", "2013/5/28", "2013/5/29",
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"2013/5/30", "2013/5/31", "2013/6/3", "2013/6/4", "2013/6/5",
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"2013/6/6", "2013/6/7", "2013/6/13"
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];
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[2300,2291.3,2288.26,2308.38],
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[2295.35,2346.5,2295.35,2346.92],
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[2347.22,2358.98,2337.35,2363.8],
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[2360.75,2382.48,2347.89,2383.76],
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[2383.43,2385.42,2371.23,2391.82],
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[2377.41,2419.02,2369.57,2421.15],
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[2425.92,2428.15,2417.58,2440.38],
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[2411,2433.13,2403.3,2437.42],
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[2432.68,2434.48,2427.7,2441.73],
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[2430.69,2418.53,2394.22,2433.89],
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[2416.62,2432.4,2414.4,2443.03],
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[2441.91,2421.56,2415.43,2444.8],
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[2420.26,2382.91,2373.53,2427.07],
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[2383.49,2397.18,2370.61,2397.94],
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[2378.82,2325.95,2309.17,2378.82],
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[2322.94,2314.16,2308.76,2330.88],
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[2320.62,2325.82,2315.01,2338.78],
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[2313.74,2293.34,2289.89,2340.71],
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[2297.77,2313.22,2292.03,2324.63],
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[2322.32,2365.59,2308.92,2366.16],
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[2364.54,2359.51,2330.86,2369.65],
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[2332.08,2273.4,2259.25,2333.54],
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[2274.81,2326.31,2270.1,2328.14],
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[2333.61,2347.18,2321.6,2351.44],
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[2340.44,2324.29,2304.27,2352.02],
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[2326.42,2318.61,2314.59,2333.67],
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[2314.68,2310.59,2296.58,2320.96],
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[2309.16,2286.6,2264.83,2333.29],
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[2282.17,2263.97,2253.25,2286.33],
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[2255.77,2270.28,2253.31,2276.22],
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[2269.31,2278.4,2250,2312.08],
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[2318.21,2324.24,2311.6,2330.81],
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[2321.4,2328.28,2314.97,2332],
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[2318.58,2297.67,2281.12,2319.99],
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[2299.38,2301.26,2289,2323.48],
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[2273.55,2236.3,2232.91,2273.55],
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[2238.49,2236.62,2228.81,2246.87],
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[2229.46,2234.4,2227.31,2243.95],
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[2234.9,2227.74,2220.44,2253.42],
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[2232.69,2225.29,2217.25,2241.34],
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[2196.24,2211.59,2180.67,2212.59],
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[2215.47,2225.77,2215.47,2234.73],
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[2224.93,2226.13,2212.56,2233.04],
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[2236.98,2219.55,2217.26,2242.48],
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[2218.09,2206.78,2204.44,2226.26],
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[2199.91,2181.94,2177.39,2204.99],
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[2169.63,2194.85,2165.78,2196.43],
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[2195.03,2193.8,2178.47,2197.51],
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[2181.82,2197.6,2175.44,2206.03],
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[2201.12,2244.64,2200.58,2250.11],
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[2236.4,2242.17,2232.26,2245.12],
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[2242.62,2184.54,2182.81,2242.62],
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[2187.35,2218.32,2184.11,2226.12],
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[2213.19,2199.31,2191.85,2224.63],
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[2203.89,2177.91,2173.86,2210.58],
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[2170.78,2174.12,2161.14,2179.65],
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[2179.05,2205.5,2179.05,2222.81],
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[2212.5,2231.17,2212.5,2236.07],
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[2227.86,2235.57,2219.44,2240.26],
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[2242.39,2246.3,2235.42,2255.21],
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[2246.96,2232.97,2221.38,2247.86],
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[2228.82,2246.83,2225.81,2247.67],
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[2247.68,2241.92,2231.36,2250.85],
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[2238.9,2217.01,2205.87,2239.93],
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[2217.09,2224.8,2213.58,2225.19],
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[2221.34,2251.81,2210.77,2252.87],
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[2249.81,2282.87,2248.41,2288.09],
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[2286.33,2299.99,2281.9,2309.39],
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[2297.11,2305.11,2290.12,2305.3],
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[2303.75,2302.4,2292.43,2314.18],
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[2293.81,2275.67,2274.1,2304.95],
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[2281.45,2288.53,2270.25,2292.59],
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[2286.66,2293.08,2283.94,2301.7],
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[2293.4,2321.32,2281.47,2322.1],
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[2323.54,2324.02,2321.17,2334.33],
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[2316.25,2317.75,2310.49,2325.72],
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[2320.74,2300.59,2299.37,2325.53],
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[2300.21,2299.25,2294.11,2313.43],
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[2297.1,2272.42,2264.76,2297.1],
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[2270.71,2270.93,2260.87,2276.86],
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[2264.43,2242.11,2240.07,2266.69],
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[2242.26,2210.9,2205.07,2250.63],
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[2190.1,2148.35,2126.22,2190.1]
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];
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{name:'鄂尔多斯', geoCoord:[109.781327, 39.608266]},
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{name:'舟山', geoCoord:[122.207216, 29.985295]},
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{name:'齐齐哈尔', geoCoord:[123.97, 47.33]},
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{name:'盐城', geoCoord:[120.13, 33.38]},
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{name:'赤峰', geoCoord:[118.87, 42.28]},
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{name:'青岛', geoCoord:[120.33, 36.07]},
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{name:'乳山', geoCoord:[121.52, 36.89]},
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{name:'金昌', geoCoord:[102.188043, 38.520089]},
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{name:'泉州', geoCoord:[118.58, 24.93]},
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{name:'莱西', geoCoord:[120.53, 36.86]},
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{name:'日照', geoCoord:[119.46, 35.42]},
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{name:'胶南', geoCoord:[119.97, 35.88]},
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{name:'南通', geoCoord:[121.05, 32.08]},
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{name:'拉萨', geoCoord:[91.11, 29.97]},
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{name:'云浮', geoCoord:[112.02, 22.93]},
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{name:'梅州', geoCoord:[116.1, 24.55]},
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{name:'文登', geoCoord:[122.05, 37.2]},
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{name:'上海', geoCoord:[121.48, 31.22]},
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{name:'攀枝花', geoCoord:[101.718637, 26.582347]},
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{name:'威海', geoCoord:[122.1, 37.5]},
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{name:'承德', geoCoord:[117.93, 40.97]},
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{name:'厦门', geoCoord:[118.1, 24.46]},
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{name:'汕尾', geoCoord:[115.375279, 22.786211]},
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{name:'潮州', geoCoord:[116.63, 23.68]},
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{name:'丹东', geoCoord:[124.37, 40.13]},
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{name:'太仓', geoCoord:[121.1, 31.45]},
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{name:'曲靖', geoCoord:[103.79, 25.51]},
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{name:'烟台', geoCoord:[121.39, 37.52]},
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{name:'福州', geoCoord:[119.3, 26.08]},
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{name:'瓦房店', geoCoord:[121.979603, 39.627114]},
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{name:'即墨', geoCoord:[120.45, 36.38]},
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{name:'抚顺', geoCoord:[123.97, 41.97]},
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{name:'玉溪', geoCoord:[102.52, 24.35]},
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{name:'张家口', geoCoord:[114.87, 40.82]},
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{name:'阳泉', geoCoord:[113.57, 37.85]},
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{name:'莱州', geoCoord:[119.942327, 37.177017]},
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{name:'湖州', geoCoord:[120.1, 30.86]},
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{name:'汕头', geoCoord:[116.69, 23.39]},
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{name:'昆山', geoCoord:[120.95, 31.39]},
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{name:'宁波', geoCoord:[121.56, 29.86]},
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{name:'湛江', geoCoord:[110.359377, 21.270708]},
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{name:'揭阳', geoCoord:[116.35, 23.55]},
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{name:'荣成', geoCoord:[122.41, 37.16]},
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{name:'连云港', geoCoord:[119.16, 34.59]},
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{name:'葫芦岛', geoCoord:[120.836932, 40.711052]},
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{name:'常熟', geoCoord:[120.74, 31.64]},
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{name:'东莞', geoCoord:[113.75, 23.04]},
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{name:'河源', geoCoord:[114.68, 23.73]},
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{name:'淮安', geoCoord:[119.15, 33.5]},
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{name:'泰州', geoCoord:[119.9, 32.49]},
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{name:'南宁', geoCoord:[108.33, 22.84]},
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{name:'营口', geoCoord:[122.18, 40.65]},
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{name:'惠州', geoCoord:[114.4, 23.09]},
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{name:'江阴', geoCoord:[120.26, 31.91]},
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{name:'蓬莱', geoCoord:[120.75, 37.8]},
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{name:'韶关', geoCoord:[113.62, 24.84]},
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{name:'嘉峪关', geoCoord:[98.289152, 39.77313]},
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{name:'广州', geoCoord:[113.23, 23.16]},
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{name:'延安', geoCoord:[109.47, 36.6]},
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{name:'太原', geoCoord:[112.53, 37.87]},
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{name:'清远', geoCoord:[113.01, 23.7]},
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{name:'中山', geoCoord:[113.38, 22.52]},
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{name:'昆明', geoCoord:[102.73, 25.04]},
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{name:'寿光', geoCoord:[118.73, 36.86]},
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{name:'盘锦', geoCoord:[122.070714, 41.119997]},
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{name:'长治', geoCoord:[113.08, 36.18]},
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{name:'深圳', geoCoord:[114.07, 22.62]},
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{name:'珠海', geoCoord:[113.52, 22.3]},
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{name:'宿迁', geoCoord:[118.3, 33.96]},
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{name:'咸阳', geoCoord:[108.72, 34.36]},
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{name:'铜川', geoCoord:[109.11, 35.09]},
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{name:'平度', geoCoord:[119.97, 36.77]},
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{name:'佛山', geoCoord:[113.11, 23.05]},
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{name:'海口', geoCoord:[110.35, 20.02]},
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{name:'江门', geoCoord:[113.06, 22.61]},
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{name:'肇庆', geoCoord:[112.44, 23.05]},
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{name:'大连', geoCoord:[121.62, 38.92]},
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{name:'临汾', geoCoord:[111.5, 36.08]},
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{name:'吴江', geoCoord:[120.63, 31.16]},
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{name:'石嘴山', geoCoord:[106.39, 39.04]},
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{name:'沈阳', geoCoord:[123.38, 41.8]},
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{name:'苏州', geoCoord:[120.62, 31.32]},
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{name:'锦州', geoCoord:[121.15, 41.13]},
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{name:'柳州', geoCoord:[109.4, 24.33]},
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{name:'自贡', geoCoord:[104.778442, 29.33903]},
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{name:'吉林', geoCoord:[126.57, 43.87]},
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{name:'阳江', geoCoord:[111.95, 21.85]},
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{name:'泸州', geoCoord:[105.39, 28.91]},
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{name:'西宁', geoCoord:[101.74, 36.56]},
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{name:'宜宾', geoCoord:[104.56, 29.77]},
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{name:'呼和浩特', geoCoord:[111.65, 40.82]},
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{name:'成都', geoCoord:[104.06, 30.67]},
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{name:'大同', geoCoord:[113.3, 40.12]},
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{name:'镇江', geoCoord:[119.44, 32.2]},
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{name:'桂林', geoCoord:[110.28, 25.29]},
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{name:'张家界', geoCoord:[110.479191, 29.117096]},
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{name:'宜兴', geoCoord:[119.82, 31.36]},
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{name:'北海', geoCoord:[109.12, 21.49]},
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{name:'西安', geoCoord:[108.95, 34.27]},
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{name:'金坛', geoCoord:[119.56, 31.74]},
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{name:'东营', geoCoord:[118.49, 37.46]},
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{name:'牡丹江', geoCoord:[129.58, 44.6]},
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{name:'遵义', geoCoord:[106.9, 27.7]},
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{name:'绍兴', geoCoord:[120.58, 30.01]},
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{name:'扬州', geoCoord:[119.42, 32.39]},
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{name:'常州', geoCoord:[119.95, 31.79]},
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{name:'潍坊', geoCoord:[119.1, 36.62]},
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{name:'重庆', geoCoord:[106.54, 29.59]},
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{name:'台州', geoCoord:[121.420757, 28.656386]},
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{name:'南京', geoCoord:[118.78, 32.04]},
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{name:'滨州', geoCoord:[118.03, 37.36]},
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{name:'贵阳', geoCoord:[106.71, 26.57]},
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{name:'无锡', geoCoord:[120.29, 31.59]},
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{name:'本溪', geoCoord:[123.73, 41.3]},
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{name:'克拉玛依', geoCoord:[84.77, 45.59]},
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{name:'渭南', geoCoord:[109.5, 34.52]},
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{name:'马鞍山', geoCoord:[118.48, 31.56]},
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{name:'宝鸡', geoCoord:[107.15, 34.38]},
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{name:'焦作', geoCoord:[113.21, 35.24]},
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{name:'句容', geoCoord:[119.16, 31.95]},
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{name:'北京', geoCoord:[116.46, 39.92]},
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{name:'徐州', geoCoord:[117.2, 34.26]},
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{name:'衡水', geoCoord:[115.72, 37.72]},
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{name:'包头', geoCoord:[110, 40.58]},
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{name:'绵阳', geoCoord:[104.73, 31.48]},
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{name:'乌鲁木齐', geoCoord:[87.68, 43.77]},
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{name:'枣庄', geoCoord:[117.57, 34.86]},
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{name:'杭州', geoCoord:[120.19, 30.26]},
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{name:'淄博', geoCoord:[118.05, 36.78]},
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{name:'鞍山', geoCoord:[122.85, 41.12]},
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{name:'溧阳', geoCoord:[119.48, 31.43]},
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{name:'库尔勒', geoCoord:[86.06, 41.68]},
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{name:'安阳', geoCoord:[114.35, 36.1]},
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{name:'开封', geoCoord:[114.35, 34.79]},
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{name:'济南', geoCoord:[117, 36.65]},
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{name:'德阳', geoCoord:[104.37, 31.13]},
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{name:'温州', geoCoord:[120.65, 28.01]},
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{name:'九江', geoCoord:[115.97, 29.71]},
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{name:'邯郸', geoCoord:[114.47, 36.6]},
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{name:'临安', geoCoord:[119.72, 30.23]},
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{name:'兰州', geoCoord:[103.73, 36.03]},
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{name:'沧州', geoCoord:[116.83, 38.33]},
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{name:'临沂', geoCoord:[118.35, 35.05]},
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{name:'南充', geoCoord:[106.110698, 30.837793]},
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{name:'天津', geoCoord:[117.2, 39.13]},
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{name:'富阳', geoCoord:[119.95, 30.07]},
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{name:'泰安', geoCoord:[117.13, 36.18]},
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{name:'诸暨', geoCoord:[120.23, 29.71]},
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{name:'郑州', geoCoord:[113.65, 34.76]},
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{name:'哈尔滨', geoCoord:[126.63, 45.75]},
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{name:'聊城', geoCoord:[115.97, 36.45]},
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{name:'芜湖', geoCoord:[118.38, 31.33]},
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{name:'唐山', geoCoord:[118.02, 39.63]},
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{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} <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:'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 += '<br/> Opening : ' + params[0].value[0] + ' Highest : ' + params[0].value[3];
|
||
res += '<br/> 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} <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:'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} <br/>{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} <br/>{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 + '<br/>'
|
||
+ params.name + ' : ' + params.value + '<br/>'
|
||
+ 'Percentage : ' + params.percent + '%';
|
||
}
|
||
else if (params.name != 'Percentage'){
|
||
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 : ['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"));
|
||
} |