visualization/js/AlwaysDifferent.js

var loadGeoJson = {};
var element;
var table;
var slider;
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var option;
var myCharts = {};
var myTables = {};
myChart.showLoading();
var msurl = './json/市级_山西.json';
var qxurl = './json/县级_山西.json';
var namefield = "name";
var valuefield = "Shape_Area";
var codefield = "CODE";
var statisticsInfoByXZQ;
var xzqSlider;
var resertEchartsParams = {};
var objList = []
var levelName = ['优等地', '高等地', '中等地', '低等地']
var levelColor = ['rgb(77,179,0)', 'rgb(187,230,0)', 'rgb(237,213,0)', 'rgb(199,139,0)']
var XZQDMName = null
var mapYears = null
var mapYearsType = true
var qixianName = null
var curYear = null
var mapYearsType1 = true
var analysisList = []
var targetType = false
var analysisListShi = null
var analysisListXdata = null
var analysisListXian = null

var analysisListQdata = null
var analysisListQian = null
var analysisListQX = [] // 存储县级数据 
var analysisListType = false // 点击县级的状态 
var configInfo = InitialParameter("/Config.json");
    globleUrl = configInfo["modelOrigin"].type + "://" + configInfo["modelOrigin"].value;
    

$(".loading").css("line-height", $(".loading").height() + "px");
window.onload = function () {
    setTimeout(function () {
        layui.use(['form', 'layer', 'element', 'slider', 'table'], function () {
            element = layui.element;
            table = layui.table;
            slider = layui.slider;
            init();
            timeLine()
        });
        $(".xzqBtn").click(function (e) {
            onTabClick(e);
        });
    }, 5);
}
// 封装的jquery的get方法
function InitialParameter(url) {
    var info = null;
    $.ajax({
        async: false,
        url: url,
        success: function(result) {
            info = result;
        },
        error: function(result) {
            console.log(result);
            // info = JSON.parse(Base64.decode(result.responseText));
        }
    });
    return info;
}
// 封装的ajax请求
function getGeoJson(url) {
    $.ajaxSettings.async = false;
    var geojson = null;
    $.get(url, function (results) {
        geojson = results;
    });
    return geojson;
}
// 行政区划数据
function getXZQData() {
    return {
        "2010": {
            "140100": "1374.0827",
            "140121": "303.4894",
            "140122": "202.2398",
            "140123": "77.4958",
            "140124": "36.6520",
            "140125": "93.4583",
            "140200": "1755.7348",
            "140205": "92.2838",
            "140206": "33.9922",
            "140221": "526.4236",
            "140222": "220.4025",
            "140223": "723.9749",
            "140300": "126.0676",
            "140302": "345.7554",
            "140303": "1035.9252",
            "140304": "635.4588",
            "140400": "414.3692",
            "140402": "246.6370",
            "140403": "96.0690",
            "140404": "127.1165",
            "140421": "237.0112",
            "140422": "258.1460",
            "140423": "82.9698",
            "140424": "70.8896",
            "140425": "246.3135",
            "140426": "250.1353",
            "140428": "72.1090",
            "140429": "259.2111",
            "140430": "179.9762",
            "140500": "291.3779",
            "140502": "275.5176",
            "140521": "377.2406",
            "140522": "275.8139",
            "140523": "227.3493",
            "140524": "230.0927",
            "140525": "125.2743",
            "140526": "2469.5459",
            "140581": "558.3716",
            "140600": "575.5978",
            "140602": "4877.0074",
            "140621": "1176.6392",
            "140622": "816.3575",
            "140623": "215.8867",
            "140624": "3198.3529",
            "140625": "284.0745",
            "140626": "1124.7510",
            "140627": "2268.0609",
            "140702": "488.0201",
            "140721": "132.9112",
            "140722": "221.8521",
            "140723": "213.3633",
            "140724": "404.1722",
            "140725": "459.5585",
            "140726": "163.6010",
            "140727": "21.0697",
            "140781": "760.7122",
            "140782": "707.3486",
            "140783": "153.4838",
            "140784": "76.5792",
            "140785": "117.8202",
            "140800": "1083.5472",
            "140802": "447.9144",
            "140821": "124.5021",
            "140822": "129.1322",
            "140823": "766.5901",
            "140824": "1092.9483",
            "140825": "163.7870",
            "140826": "144.5532",
            "140900": "349.2848",
            "140902": "448.9940",
            "140921": "9.9996",
            "140922": "101.2754",
            "140923": "125.2193",
            "140924": "205.0660",
            "140925": "61.9459",
            "140926": "268.0242",
            "140927": "112.4528",
            "140928": "28.0536",
            "140929": "54.0725",
            "140981": "83.8572",
            "142200": "0.04",
            "142201": "467.7327",
            "142202": "148.0441",
            "142221": "440.2199",
            "142222": "414.4389",
            "142223": "397.8823",
            "142224": "60.0480",
            "142500": "183.5569",
            "142501": "746.7674",
            "142502": "782.7479",
            "142522": "18.28",
            "142523": "49.4689",
            "142524": "26.8418",
            "142525": "309.1744",
            "142526": "1068.8855",
            "142527": "262.5052",
            "142528": "17.9076",
            "142529": "30.7902",
            "142530": "319.3177",
            "142531": "240.9515",
            "142900": "545.0977",
            "142921": "471.0895",
            "142922": "62.8292",
            "142923": "696.4943"
        },
        "2011": {
            "140100": "725.7382",
            "140121": "867.3320",
            "140122": "145.9741",
            "140123": "181.2380",
            "140124": "553.5097",
            "140125": "201.2746",
            "140200": "1350.0051",
            "140205": "311.0845",
            "140206": "165.3985",
            "140221": "376.3236",
            "140222": "203.3382",
            "140223": "68.1117",
            "140300": "42.7176",
            "140302": "367.7678",
            "140303": "743.4373",
            "140304": "315.2416",
            "140400": "3966.1607",
            "140402": "110.2660",
            "140403": "259.3619",
            "140404": "93.3318",
            "140421": "111.9776",
            "140422": "554.7623",
            "140423": "113.5398",
            "140424": "169.8721",
            "140425": "241.0156",
            "140426": "371.3716",
            "140428": "1193.7264",
            "140429": "452.6335",
            "140430": "265.7366",
            "140500": "556.1597",
            "140502": "684.9885",
            "140521": "473.4730",
            "140522": "161.3675",
            "140523": "225.0738",
            "140524": "123.2909",
            "140525": "141.8375",
            "140526": "1035.5378",
            "140581": "1700.3540",
            "140600": "1259.0139",
            "140602": "2953.3671",
            "140621": "1275.8068",
            "140622": "2158.0129",
            "140623": "957",
            "140624": "1940.8689",
            "140625": "853.8531",
            "140626": "1143.2198",
            "140627": "1913.9836",
            "140700": "56.8958",
            "140702": "458.2778",
            "140721": "295.2057",
            "140722": "197.5868",
            "140723": "115.6403",
            "140724": "243.6128",
            "140725": "1982.9274",
            "140726": "73.5103",
            "140727": "193.7684",
            "140781": "1224.7420",
            "140782": "131.1689",
            "140783": "872.8530",
            "140784": "379.3342",
            "140785": "75.8478",
            "140800": "306.9381",
            "140802": "511.5864",
            "140821": "238.5011",
            "140822": "141.2888",
            "140823": "552.8114",
            "140824": "718.7155",
            "140825": "233.1595",
            "140826": "191.0096",
            "140900": "203.6254",
            "140902": "1097.8265",
            "140921": "188.6192",
            "140922": "240.4510",
            "140923": "230.6365",
            "140924": "538.2339",
            "140925": "71.0454",
            "140926": "334.8470",
            "140927": "125.5322",
            "140928": "289.6747",
            "140929": "90.9401",
            "140981": "97.6970",
            "142201": "518.2211",
            "142202": "457.6433",
            "142221": "341.4587",
            "142222": "107.4360",
            "142223": "317.3830",
            "142224": "54.3868",
            "142500": "151.9482",
            "142501": "396.4625",
            "142502": "2118.0633",
            "142522": "374.5748",
            "142523": "16.8651",
            "142524": "4.8571",
            "142525": "264.4244",
            "142526": "1750.4778",
            "142527": "289.8049",
            "142528": "31.4878",
            "142529": "168.4125",
            "142530": "1936.71",
            "142531": "203.1190",
            "142900": "928.3924",
            "142921": "1271.70",
            "142922": "79.6201",
            "142923": "1010.9917"
        },
        "2012": {
            "140100": "904.2517",
            "140121": "537.5601",
            "140122": "593.1409",
            "140123": "39.3442",
            "140124": "47.6449",
            "140125": "95.6354",
            "140200": "1335.2940",
            "140205": "157.5631",
            "140206": "18.6804",
            "140221": "727.4547",
            "140222": "145.4735",
            "140223": "104.0529",
            "140300": "535.6164",
            "140302": "456.4690",
            "140303": "529.2270",
            "140304": "85.3308",
            "140400": "2971.6672",
            "140402": "328.4169",
            "140403": "2426.4520",
            "140404": "173.7092",
            "140421": "215.0982",
            "140422": "248.9963",
            "140423": "98.1331",
            "140424": "91.7084",
            "140425": "260.2441",
            "140426": "246.9027",
            "140428": "367.0889",
            "140429": "471.5247",
            "140430": "209.8419",
            "140500": "438.8931",
            "140502": "341.8848",
            "140521": "307.9967",
            "140522": "1078.4476",
            "140523": "332.1588",
            "140524": "251.1891",
            "140525": "370.3165",
            "140526": "382.3510",
            "140581": "1065.8378",
            "140600": "352.4580",
            "140602": "1085.2704",
            "140621": "1103.3342",
            "140622": "2227.1315",
            "140623": "275.0806",
            "140624": "1747.3696",
            "140625": "654.2865",
            "140626": "459.1384",
            "140627": "1853.2854",
            "140700": "258.0701",
            "140702": "909.1869",
            "140721": "292.5792",
            "140722": "861.0902",
            "140723": "912.0391",
            "140724": "120.2348",
            "140725": "191.0157",
            "140726": "596.4336",
            "140727": "775.7596",
            "140781": "862.1870",
            "140782": "1643.0023",
            "140783": "643.5763",
            "140784": "92.5346",
            "140785": "54.3751",
            "140800": "483.2342",
            "140802": "1207.2431",
            "140821": "1107.5430",
            "140822": "143.0646",
            "140823": "664.9228",
            "140824": "2684.7980",
            "140825": "493.9453",
            "140826": "496.7032",
            "140900": "140.5657",
            "140902": "812.1640",
            "140921": "351.8924",
            "140922": "184.1644",
            "140923": "155.2511",
            "140924": "935.2508",
            "140925": "238.5902",
            "140926": "1139.4389",
            "140927": "139.7702",
            "140928": "73.7747",
            "140929": "178.8194",
            "140981": "342.7902",
            "142201": "1267.2437",
            "142202": "109.8130",
            "142221": "1546.6124",
            "142222": "944.5461",
            "142223": "530.4248",
            "142224": "693.9114",
            "142500": "209.5299",
            "142501": "403.2040",
            "142502": "1095.1108",
            "142522": "59.2193",
            "142523": "302.9508",
            "142524": "207.3452",
            "142525": "1110.0607",
            "142526": "2761.4695",
            "142527": "269.2814",
            "142528": "29.6824",
            "142529": "66.9245",
            "142530": "253.9864",
            "142531": "57.1876",
            "142900": "469.0522",
            "142921": "2055.2058",
            "142922": "88.3629",
            "142923": "1210.9203"
        },
        "2013": {
            "140100": "1233.5368",
            "140121": "343.8090",
            "140122": "360.7394",
            "140123": "343.7453",
            "140124": "142.6128",
            "140125": "155.0838",
            "140200": "1917.4828",
            "140205": "181.7986",
            "140206": "650.5456",
            "140221": "253.6148",
            "140222": "158.7589",
            "140223": "505.7883",
            "140300": "3.4244",
            "140302": "306.1179",
            "140303": "244.3298",
            "140304": "113.7825",
            "140400": "989.5815",
            "140402": "408.3445",
            "140403": "87.4224",
            "140404": "65.3362",
            "140421": "265.5460",
            "140422": "903.5161",
            "140423": "170.4438",
            "140424": "598.8138",
            "140425": "1079.4011",
            "140426": "358.3927",
            "140428": "61.2580",
            "140429": "281.0602",
            "140430": "538.1826",
            "140500": "217.5431",
            "140502": "845.5010",
            "140521": "1277.8440",
            "140522": "276.7721",
            "140523": "296.6204",
            "140524": "424.7533",
            "140525": "372.2175",
            "140526": "1156.0768",
            "140581": "1410.8531",
            "140600": "774.9078",
            "140602": "122.6553",
            "140621": "1496.1698",
            "140622": "4752.2966",
            "140623": "608.2063",
            "140624": "868.9294",
            "140625": "775.2818",
            "140626": "2169.8123",
            "140627": "810.1439",
            "140700": "134.8730",
            "140702": "368.5780",
            "140721": "351.7371",
            "140722": "131.6751",
            "140723": "289.9349",
            "140724": "627.6299",
            "140725": "734.6426",
            "140726": "1026.6029",
            "140727": "54.3299",
            "140781": "1272.0569",
            "140782": "926.4627",
            "140783": "167.9113",
            "140784": "111.46",
            "140785": "158.7986",
            "140800": "98.0373",
            "140802": "1326.0608",
            "140821": "435.7942",
            "140822": "522.9419",
            "140823": "485.8252",
            "140824": "812.8404",
            "140825": "374.0821",
            "140826": "715.3304",
            "140900": "1774.4002",
            "140902": "887.1772",
            "140921": "50.5576",
            "140922": "361.3739",
            "140923": "398.0033",
            "140924": "191.3758",
            "140925": "223.7503",
            "140926": "1023.6560",
            "140927": "401.4983",
            "140928": "107.5554",
            "140929": "71.6216",
            "140981": "179.6324",
            "142201": "640.3407",
            "142202": "255.7856",
            "142221": "389.8087",
            "142222": "94.2839",
            "142223": "174.8117",
            "142224": "209.1665",
            "142500": "85.7355",
            "142501": "262.7879",
            "142502": "1860.9893",
            "142522": "1172.4603",
            "142523": "1320.8754",
            "142524": "78.3491",
            "142525": "236.3568",
            "142526": "1866.5976",
            "142527": "713.5611",
            "142528": "17.3726",
            "142529": "21.6243",
            "142530": "616.6231",
            "142531": "214.8423",
            "142900": "760.2447",
            "142921": "2563.6273",
            "142922": "701.6768",
            "142923": "1702.0935"
        },
        "2014": {
            "140100": "492.4480",
            "140121": "188.6080",
            "140122": "176.9947",
            "140123": "591.3140",
            "140124": "247.52",
            "140125": "70.6449",
            "140200": "1288.2103",
            "140205": "146.1707",
            "140206": "21.9620",
            "140221": "558.5203",
            "140222": "116.1729",
            "140223": "183.2619",
            "140300": "8.6334",
            "140302": "185.9441",
            "140303": "235.6272",
            "140304": "359.9537",
            "140400": "186.4628",
            "140402": "501.3645",
            "140403": "1167.6727",
            "140404": "505.5814",
            "140421": "149.3648",
            "140422": "51.0924",
            "140423": "76.9384",
            "140424": "386.9924",
            "140425": "130.3016",
            "140426": "123.2055",
            "140428": "239.5615",
            "140429": "122.6820",
            "140430": "228.6348",
            "140500": "253.3864",
            "140502": "721.6941",
            "140521": "689.1426",
            "140522": "568.6140",
            "140523": "393.2609",
            "140524": "367.3057",
            "140525": "662.4712",
            "140526": "120.4832",
            "140581": "1049.7418",
            "140600": "879.8749",
            "140602": "137.3573",
            "140621": "173.9434",
            "140622": "604.4744",
            "140623": "640.4436",
            "140624": "820.0302",
            "140625": "453.8570",
            "140626": "721.6363",
            "140627": "1719.2095",
            "140700": "34.5395",
            "140702": "585.3405",
            "140721": "2979.6018",
            "140722": "476.3002",
            "140723": "171.8187",
            "140724": "208.4303",
            "140725": "194.5935",
            "140726": "166.2243",
            "140727": "147.8713",
            "140781": "731.1598",
            "140782": "502.6526",
            "140783": "911.2987",
            "140784": "1658.0546",
            "140785": "369.1015",
            "140800": "21.6871",
            "140802": "547.3604",
            "140821": "264.6688",
            "140822": "71.2161",
            "140823": "137.7194",
            "140824": "491.1039",
            "140825": "205.9957",
            "140826": "140.8115",
            "140900": "17.0335",
            "140902": "395.0336",
            "140921": "1032.1476",
            "140922": "234.3908",
            "140923": "247.1679",
            "140924": "403.1076",
            "140925": "98.8578",
            "140926": "1438.8968",
            "140927": "804.2020",
            "140928": "138.4346",
            "140929": "83.2574",
            "140981": "126.5918",
            "142201": "545.92",
            "142202": "50.4333",
            "142221": "198.3151",
            "142222": "240.8704",
            "142223": "684.0778",
            "142224": "96.2999",
            "142500": "32.1702",
            "142501": "1341.0582",
            "142502": "567.5273",
            "142522": "105.6240",
            "142523": "25.6986",
            "142524": "560.7732",
            "142525": "510.6955",
            "142526": "1013.8351",
            "142527": "123.6345",
            "142528": "90.5005",
            "142529": "41.4253",
            "142530": "98.1328",
            "142531": "117.6360",
            "142900": "256.8999",
            "142921": "3325.1233",
            "142922": "335.5565",
            "142923": "1211.5292"
        },
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            "142222": "23.4501",
            "142223": "117.9373",
            "142224": "16.3246",
            "142500": "5.5730",
            "142501": "13.4411",
            "142502": "1419.2019",
            "142522": "50.5499",
            "142523": "43.3847",
            "142524": "18.2201",
            "142525": "96.5219",
            "142526": "2089.4329",
            "142527": "76.1852",
            "142528": "806.2521",
            "142529": "161.4295",
            "142530": "56.1777",
            "142531": "356.9230",
            "142900": "236.6538",
            "142921": "640.4761",
            "142922": "241.5932",
            "142923": "233.7002"
        }
    };
}
// 获取专项统计模块获取登陆信息和点击地图
function init() {
    // var userinfo = getUserInfo();
    // if (!userinfo) {
    //     console.error("专项统计模块获取登陆信息失败！");
    //     return;
    // }
    windowResizeFun();
    var list = {};
    for (var attr in TDYTDM.classify) {
        var item = TDYTDM.classify[attr];
        for (var i = 0; i < item.length; i++) {
            list[item[i]] = attr;
        }
    }
    TDYTDM["handle"] = list;
    getGDLBData();
    resertEcharts("", "1");
    // 点击地图
    myChart.on('click', function (params) {
        if (params.name) {
            $(".loading").show();
            setTimeout(function () {
                mapYearsType1 = false 
                btnType = false  
                currentXzqdm = params.data.code
                getGDLBData(params.data.code)
                if ((parseInt(params.seriesName) + 1).toString() == "2") {
                    dataShi = objList
                } else if ((parseInt(params.seriesName) + 1).toString() == "3") {
                    dataXian = objList
                }

                // resertEcharts("", "1");
                // resertEcharts(params.data.code, (parseInt(params.seriesName) + 1).toString(), params.name);
            }, 10);
        }
    });
    myChart.hideLoading();
}
// 画地图图表
function resertEcharts(xzq, type, name, year) {
    if (!year) {
        resertEchartsParams = {
            xzq: xzq,
            type: type,
            name: name
        }
    }
    if (!statisticsInfoByXZQ) {
        statisticsInfoByXZQ = getXZQData();
        if (statisticsInfoByXZQ) {
            var years = [];
            for (var attr in statisticsInfoByXZQ) {
                years.push(parseInt(attr));
            }
            years.sort(function (a, b) {
                return a - b;
            });
            statisticsInfoByXZQ["years"] = years;
        }
        xzqSlider = slider.render({
            elem: '#' + XZQConfig.container,
            min: years[0],
            max: years[years.length - 1],
            theme: '#5470c6',
            //type: 'vertical', //垂直滑块
            showstep: true,
            change: function (data) {
                resertEcharts(null, null, null, data);
            }
        });
        statisticsInfoByXZQ["curYear"] = statisticsInfoByXZQ["years"][0];
    }
    curYear = year ? year : statisticsInfoByXZQ["curYear"];

    var mapYearsText = null
    if (mapYearsType) {
        mapYearsText = mapYears
        mapYearsType = false
    } else {
        if (mapYearsType1) {
            mapYearsText = curYear
        } else {
            mapYearsText = mapYears
        }
    }
    let yearSpan = currentYear === '' ? yearData[0] : currentYear
    $(".yearSpan").html(yearSpan + "年");
    statisticsInfoByXZQ["curYear"] = curYear;
    var list = [];
    var chartType = "";
    switch (resertEchartsParams.type) {
        case "1": //盟市 
            btnMeg = 1
            var html = "<a class='xzqBtn' value='' type='1' >山西省</a>";
            elementTemplate(html);
            chartType = "MS";
            if (!loadGeoJson[chartType]) {
                loadGeoJson[chartType] = getGeoJson(msurl);
            }
            for (var i = 0; i < loadGeoJson[chartType].features.length; i++) {
                var info = loadGeoJson[chartType].features[i]["properties"];
                var code = info[codefield].toString().substr(0, 4);
                var value = 0;
                for (var attr in statisticsInfoByXZQ[curYear]) {
                    if (attr.toString().indexOf(code) == 0) {
                        value += parseFloat(statisticsInfoByXZQ[curYear][attr]);
                    }
                }
                list.push({
                    name: info[namefield],
                    // value: value ? Math.round(value * 100) / 100 : 0,
                    value: 0,
                    code: info[codefield]
                });
            }
            echarts.registerMap('MS', loadGeoJson[chartType]);
            break;
        case "2": //旗县 
            btnMeg = 2
            var html = "<a class='xzqBtn' value='' type='1' >山西省</a>";
            html += "<a class='xzqBtn' value='" + resertEchartsParams.xzq + "' type='2' >" + resertEchartsParams.name + "</a>";
            qixianName = resertEchartsParams.name
            elementTemplate(html);
            chartType = resertEchartsParams.xzq.length == 6 ? resertEchartsParams.xzq.substr(0, 4) : resertEchartsParams.xzq;
            if (!loadGeoJson["QX"]) {
                loadGeoJson["QX"] = getGeoJson(qxurl);
            }
            var list = [];
            var json = {
                type: "FeatureCollection",
                features: []
            };
            for (var i = 0; i < loadGeoJson["QX"].features.length; i++) {
                var info = loadGeoJson["QX"].features[i]["properties"];
                if (info[codefield].indexOf(chartType) > -1) {
                    list.push({
                        name: info[namefield],
                        // value: statisticsInfoByXZQ[curYear][info[codefield]] ? Math.round(parseFloat(statisticsInfoByXZQ[curYear][info[codefield]]) * 100) / 100 : 0,
                        code: info[codefield],
                        value: 0,
                    });
                    json.features.push(loadGeoJson["QX"].features[i]);
                }
            }
            echarts.registerMap(chartType, json);
            break;
        case "3": //旗县  
            btnMeg = 3
            var html = $(".layui-breadcrumb").text().split(">")[1];
            html = "<a class='xzqBtn' value='' type='1' >山西省</a><a class='xzqBtn' value='" + resertEchartsParams.xzq.substr(0, 4) + "' type='2' >" + html + "</a>";
            html += "<a class='xzqBtn' value='" + resertEchartsParams.xzq + "' type='3' >" + resertEchartsParams.name + "</a>";
            elementTemplate(html);
            chartType = resertEchartsParams.xzq;
            if (!loadGeoJson["QX"]) {
                loadGeoJson["QX"] = getGeoJson(qxurl);
            }
            var list = [];
            var json = {
                type: "FeatureCollection",
                features: []
            };
            for (var i = 0; i < loadGeoJson["QX"].features.length; i++) {
                var info = loadGeoJson["QX"].features[i]["properties"];
                if (info[codefield] == chartType) {
                    list.push({
                        name: info[namefield],
                        // value: statisticsInfoByXZQ[curYear][info[codefield]] ? Math.round(parseFloat(statisticsInfoByXZQ[curYear][info[codefield]]) * 100) / 100 : 0,
                        code: info[codefield],
                        value: 0,
                    });
                    json.features.push(loadGeoJson["QX"].features[i]);
                    break;
                }
            }
            echarts.registerMap(chartType, json);
            break;
        default:
            return $(".loading").hide();
            break;
    }

    list.sort(function (a, b) {
        return a.value - b.value
    });
    analysisList = list
    option = {
        title: {
            // text: '{A|     ' + XZQConfig.chartTitle + '}',
            text: '{A|     山西省耕地质量变化统计分析}',
            x: 'left',
            //padding: [5, 5, 5, 5],
            textStyle: {
                align: 'center',
                rich: {
                    A: {
                        backgroundColor: {
                            image: XZQConfig.titleImage.image,
                        },
                        width: XZQConfig.titleImage.width,
                        height: XZQConfig.titleImage.height,
                        color: "#5470c6",
                        fontSize: 17,
                        fontWeight: 'bold',
                        verticalAlign: "middle",
                        lineHeight: 50,
                        left: 15
                    }
                }
            },
            left: 15
        },
        tooltip: {
            trigger: 'item',
            show: true,
            formatter: function (data) {
                var total = 0;
                for (var i = 0; i < myChart.getOption().series[0].data.length; i++) {
                    total += myChart.getOption().series[0].data[i].value;
                }
                //return data.name + '<br/>' + XZQConfig.title + data.value + XZQConfig.unit;
                var per = Math.round(data.value / total * 10000) / 100;
                return data.name;

                return data.name + '<br/>' + XZQConfig.title + data.value + XZQConfig.unit + '<br/>本级占比：' + per + "%";
            }
        },
        toolbox: {
            show: false,
            orient: 'vertical',
            left: 'right',
            top: 'center',
            feature: {
                saveAsImage: {}
            }
        },
        visualMap: {
            show:false,
            min: list[0].value,
            max: list[list.length - 1].value,
            text: ['高', '低'],
            realtime: false,
            calculable: true,
            inRange: {
                //color: ['#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8', '#ffffbf', '#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026']
                //color: globleConfig.color
                color: ['#0000ff30', '#0000ff']

            },
            orient: 'vertical',
            // right: '2%',
            right:"0%",
            bottom: '0%',
            z: 100,
        },
        series: [{
            name: resertEchartsParams.type,
            type: 'map',
            top:"20",
            bottom:"20",
            roam: true,
            mapType: chartType, // 自定义扩展图表类型
            label: {
                show: true,
                //color: "blue",
                //fontStyle: 'normal',
                //fontWeight: 'normal',
                textBorderColor: "white",
                textBorderWidth: 1
            },
            itemStyle: {
                normal: {
                    borderWidth: 1,
                    borderColor: '#ddd', //区域边框色
                    //areaColor: '#FFDAB9',//区域背景色
                    label: {
                        show: true,
                        //textBorderColor: "white",
                        //textBorderWidth: 1,
                        textStyle: {
                            color: '#ffffff', //文字颜色
                            fontSize: 12 //文字大小
                        }
                    }
                },
                emphasis: { // 选中样式
                    borderWidth: 1,
                    borderColor: '#00ffff',
                    color: '#ffffff',
                    label: {
                        show: true,
                        textStyle: {
                            color: '#ff0000'
                        }
                    }
                }
            },
            data: list
        }]
    };
    setTimeout(() => {
        window.onresize = function () {
            myChart.resize()
        }
    }, 200)
    myChart.clear();

    myChart.setOption(option);

    // if (year) {
    //     var data = filterArray(myTables["myChartTable2"].config.dataStore, [{
    //         field: "QDRQ",
    //         value: year,
    //         type: "like"
    //     }]);
    //     myTables["myChartTable2"].reload({
    //         data: data
    //     }, false);
    // } else {

    //     // createVisualizationCharts(resertEchartsParams.xzq ? chartType : "")
    // }
}
// 为行政区域赋值，点击行政区域
function elementTemplate(html) {
    $(".layui-breadcrumb").html(html);
    element ? element.render() : null;
    $(".xzqBtn").click(function (e) {
        onTabClick(e);
    });
} 
// 点击行政区域文字信息 
function onTabClick(e) {
    $(".loading").show();
    setTimeout(function () {
        resertEcharts($(e.target).attr("value"), $(e.target).attr("type"), $(e.target).html());
        btnType = true
        if (e.target.text == '山西省') {
            getGDLBData()
        } else {
            getGDLBData($(e.target).attr("value"))
        }
    }, 50);
}

//得到随机的颜色值
function randomColor() { 
    var r = Math.floor(Math.random() * 256);
    var g = Math.floor(Math.random() * 256);
    var b = Math.floor(Math.random() * 256);
    return "rgb(" + r + "," + g + "," + b + ")";
}
// 一维数组转换为二维数组
function arrTrans(num, arr) { 
    const iconsArr = [];
    arr.forEach((item, index) => {
        const page = Math.floor(index / num); // 计算该元素为第几个素组内
        if (!iconsArr[page]) { // 判断是否存在
            iconsArr[page] = [];
        }
        iconsArr[page].push(item);
    });
    return iconsArr;
}
var arableNF = null
var arableXZQDM
var objIndex = 0
var objIndexXZQ = 0
var objIndexXZQ1 = 0
var oldobjList = xzLineDataList = []
var objIndexNF = 0
var arableType = false
var oldArble = null
var dlDjData = []


// 排序的一个公用函数 传入排序的属性值 从大到小 
function creatCompare(propertyName) {
    return function (obj1, obj2) {
        var value1 = obj1[propertyName];
        var value2 = obj2[propertyName];
        if (value1 < value2) {
            return -1
        } else if (value1 > value2) {
            return 1
        } else {
            return 0
        }
    }
}


// 时间轴样式
function timeLine() {
    let timeLineLeft = -15
    // selected 
    let timeLinehtml = ''
    yearData.map((item, index) => {
        if (index == 0) {
            timeLinehtml += `
                <li>
                    <a class="order_item selected" style="left:${timeLineLeft += 20}%;">${item}</a>
                </li>
            `
        } else {
            timeLinehtml += `
                <li>
                    <a class="order_item" style="left:${timeLineLeft += 20}%;">${item}</a>
                </li>
            `
        }
    })
    $('.time_line ol').html(timeLinehtml)
    targetType = true
    $('.order_item').on('click', function (e) { 
        let timeText = e.target.innerHTML
        $(this).addClass('selected')
        $(this).parent().siblings().find('.order_item').removeClass('selected')
        currentYear = timeText
        //resertEcharts(null, null, null, parseInt(timeText));
        resertEcharts($(e.target).attr("value"), $(e.target).attr("type"), $(e.target).html(),parseInt(timeText));  
        if (currentXzqdm == "140000") {
            getGDLBData(null, currentYear)
        } else {
            getGDLBData(currentXzqdm, currentYear)
        } 
        
    })
}
let currentText = "" // 点击的文字 
let currentYear = '' // 当前年份
let currentXzqdm = '' // 当前行政区代码
let yearData = [] // 全部的年份 
let btnType = false // 上面行政区域状态  
let dataSheng = null // 省数据 
let dataShi = null // 市数据   
let dataXian = null // 县数据 
let btnMeg = 0 // 按钮的状态 



// 请求耕地数据
function getGDLBData(num, year) {
    let newNum = null;
    if (num) {
        newNum = num
    } else {
        newNum = 140000
    }
    currentXzqdm = newNum
    var levelData;
    $.ajax({
        async: false,
        url: globleUrl + '/dbms/specialStatistics/qualityLevel',
        data: {
            "xzqdm": newNum
        },
        datatype: 'json',
        success: function (res) {
            if (typeof res == 'string') {
                levelData = eval("(" + res + ")")
            } else {
                levelData = res
            }
            if (levelData.code == 200) {
                objList = levelData.data
                if (num === undefined) {
                    dataSheng = levelData.data
                    for (i in objList) {
                        yearData.push(objList[i].YEAR)
                    }
                }
                let parmsDataPie = [] // 饼图数据 
                let parmsTotal = '' // 饼图数据总数 
                let paramsBar = [] // 行政区线图数据 
                // 判断是否点击行政区域
                if (btnType) {
                    if (btnMeg == 1) {
                        if (currentYear != '') {
                            for (i in dataSheng) {
                                parmsDataPie = dataSheng[currentYear]
                            }
                        } else {
                            let btnMeg1Index = 0
                            for (i in dataSheng) {
                                btnMeg1Index++
                                if (btnMeg1Index == 1) {
                                    parmsDataPie = dataSheng[i]
                                }
                            }
                        }
                    } else if (btnMeg == 2) {
                        if (currentYear != '') {
                            for (i in dataShi) {
                                parmsDataPie = dataShi[currentYear]
                            }
                        } else {
                            let btnMeg1Index = 0
                            for (i in dataSheng) {
                                btnMeg1Index++
                                if (btnMeg1Index == 1) {
                                    parmsDataPie = dataShi[i]
                                }
                            }
                        }
                    } else if (btnMeg == 3) {
                        if (currentYear != '') {
                            for (i in dataXian) {
                                parmsDataPie = dataXian[currentYear]
                            }
                        } else {
                            let btnMeg1Index = 0
                            for (i in dataXian) {
                                btnMeg1Index++
                                if (btnMeg1Index == 1) {
                                    parmsDataPie = dataXian[i]
                                }
                            }
                        }
                    }
                } else {
                    if (currentYear === '' && num == undefined) {
                        let piedata = null
                        let pieIndex = 0
                        for (i in objList) {
                            pieIndex++
                            if (pieIndex == 1) {
                                piedata = objList[i]
                            }
                        }
                        parmsDataPie = piedata
                    } else if (currentYear != '' && num == undefined) {
                        for (i in objList) {
                            parmsDataPie = objList[year]
                        }
                    } else if (currentYear === '' && num) {
                        let pieIndex1 = 0
                        for (i in objList) {
                            pieIndex1++
                            if (pieIndex1 == 1) {
                                parmsDataPie = objList[i]
                            }
                        }
                    } else if (currentYear && num) {
                        for (i in objList) {
                            if (JSON.stringify(objList[i].XZQDATA) === "{}") {
                                if (currentYear == objList[i].YEAR) {
                                    parmsDataPie = objList[i]
                                }
                            } else {
                                parmsDataPie = objList[currentYear]
                            }

                        }
                    }
                    btnType = false
                }
                parmsTotal = parmsDataPie.YDD + parmsDataPie.GDD + parmsDataPie.ZDD + parmsDataPie.DDD
                echarPieFun(parmsDataPie, parmsTotal)
                echartsLineBar()
                let yearSpan = currentYear === '' ? yearData[0] : currentYear
                dlDj(parmsDataPie, yearSpan)
            }
        },
        error: function (err) {
            console.log(err);
        }
    });
    return levelData;
}
// 耕地质量行政区划统计分析柱状图
function dlDj(data, time) {
    // 默认 
    // 点击年份   
    var Ydd = []
    var Gdd = []
    var Zdd = []
    var Ddd = []
    var YDDarr = [],
        GDDarr = [],
        ZDDarr = [],
        DDDarr = []
    var dataName = [] // x轴名称数据
    let xData
    setTimeout(() => {
        xData = analysisList.map(item => {
            return item.name
        })
        xzLineDataFun(data, time, xData, analysisList)
    }, 10)

    function xzLineDataFun(data, time, xData, analysisList) {
        // 循环数据赋值盟市名字 
        if (JSON.stringify(data.XZQDATA) === "{}") {
            if (!currentYear) {
                // 优等地数据 
                let yddData = []
                yddData.push(data.YDD)
                Ydd.push({
                    dj: '优等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: yddData,
                    itemStyle: {
                        color: levelColor[0]
                    }
                })
                dldjBar('优等地', time, '#containerClassLine1', Ydd, xData)
                // 高等地数据 
                let gddData = []
                gddData.push(data.GDD)
                Gdd.push({
                    dj: '高等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: gddData,
                    itemStyle: {
                        color: levelColor[1]
                    }
                })
                dldjBar('高等地', time, '#containerClassLine2', Gdd, xData)
                // 中等地数据 
                let zddData = []
                zddData.push(data.ZDD)
                Zdd.push({
                    dj: '中等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: zddData,
                    itemStyle: {
                        color: levelColor[2]
                    }
                })
                dldjBar('中等地', time, '#containerClassLine3', Zdd, xData)
                // 低等地数据 
                let dddData = []
                dddData.push(data.DDD)
                Ddd.push({
                    dj: '低等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: dddData,
                    itemStyle: {
                        color: levelColor[3]
                    }
                })
                dldjBar('低等地', time, '#containerClassLine4', Ddd, xData)
            } else {
                let yddData = []
                yddData.push(dataXian.YDD)
                Ydd.push({
                    dj: '优等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: yddData,
                    itemStyle: {
                        color: levelColor[0]
                    }
                })
                dldjBar('优等地', time, '#containerClassLine1', Ydd, xData)
                // 高等地数据 
                let gddData = []
                gddData.push(dataXian.GDD)
                Gdd.push({
                    dj: '高等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: gddData,
                    itemStyle: {
                        color: levelColor[1]
                    }
                })
                dldjBar('高等地', time, '#containerClassLine2', Gdd, xData)
                // 中等地数据 
                let zddData = []
                zddData.push(dataXian.ZDD)
                Zdd.push({
                    dj: '中等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: zddData,
                    itemStyle: {
                        color: levelColor[2]
                    }
                })
                dldjBar('中等地', time, '#containerClassLine3', Zdd, xData)
                // 低等地数据 
                let dddData = []
                dddData.push(dataXian.DDD)
                Ddd.push({
                    dj: '低等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: dddData,
                    itemStyle: {
                        color: levelColor[3]
                    }
                })
                dldjBar('低等地', time, '#containerClassLine4', Ddd, xData)
            }

        } else {
            if (!currentYear) {
                for (s in data.XZQDATA) {
                    for (i in analysisList) {
                        if (analysisList[i].code == data.XZQDATA[s].XZQDM) {
                            data.XZQDATA[s].xzqName = analysisList[i].name
                        }
                    }
                }
                let xzqDataContainer = []
                for (i in data.XZQDATA) {
                    xzqDataContainer.push(data.XZQDATA[i])
                }
                // 优等地数据
                xzqDataContainer.sort(creatCompare("YDD"))
                xzqDataContainer.map(item => {
                    YDDarr.push(item.YDD)
                    dataName.push(item.xzqName)
                })
                Ydd.push({
                    dj: '优等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: YDDarr,
                    itemStyle: {
                        color: levelColor[0]
                    }
                })
                dldjBar('优等地', time, '#containerClassLine1', Ydd, dataName)
                // 高等地数据 
                dataName = [] // 清空存储Y轴的数组
                xzqDataContainer.sort(creatCompare("GDD"))
                xzqDataContainer.map(item => {
                    GDDarr.push(item.GDD)
                    dataName.push(item.xzqName)
                })
                Gdd.push({
                    dj: '高等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: GDDarr,
                    itemStyle: {
                        color: levelColor[1]
                    }
                })
                dldjBar('高等地', time, '#containerClassLine2', Gdd, dataName)
                // 中等地数据 
                dataName = [] // 清空存储Y轴的数组
                xzqDataContainer.sort(creatCompare("ZDD"))
                xzqDataContainer.map(item => {
                    ZDDarr.push(item.ZDD)
                    dataName.push(item.xzqName)
                })
                Zdd.push({
                    dj: '中等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: ZDDarr,
                    itemStyle: {
                        color: levelColor[2]
                    }
                })
                dldjBar('中等地', time, '#containerClassLine3', Zdd, dataName)
                // 低等地数据
                dataName = [] // 清空存储Y轴的数组
                xzqDataContainer.sort(creatCompare("DDD"))
                xzqDataContainer.map(item => {
                    DDDarr.push(item.DDD)
                    dataName.push(item.xzqName)
                })
                Ddd.push({
                    dj: '低等地',
                    type: 'bar',
                    barWidth: '20%',
                    data: DDDarr,
                    itemStyle: {
                        color: levelColor[3]
                    }
                })
                dldjBar('低等地', time, '#containerClassLine4', Ddd, dataName)
            } else {
                if (btnMeg == 1) {
                    for (s in dataSheng[currentYear].XZQDATA) {
                        for (i in analysisList) {
                            if (analysisList[i].code == dataSheng[currentYear].XZQDATA[s].XZQDM) {
                                dataSheng[currentYear].XZQDATA[s].xzqName = analysisList[i].name
                            }
                        }
                    }
                    let xzqDataContainer = []
                    for (i in dataSheng[currentYear].XZQDATA) {
                        xzqDataContainer.push(dataSheng[currentYear].XZQDATA[i])
                    }
                    shiXian(xzqDataContainer)
                } else if (btnMeg == 2) {
                    for (s in dataShi[currentYear].XZQDATA) {
                        for (i in analysisList) {
                            if (analysisList[i].code == dataShi[currentYear].XZQDATA[s].XZQDM) {
                                dataShi[currentYear].XZQDATA[s].xzqName = analysisList[i].name
                            }
                        }
                    }
                    let xzqDataContainer = []
                    for (i in dataShi[currentYear].XZQDATA) {
                        xzqDataContainer.push(dataShi[currentYear].XZQDATA[i])
                    }
                    shiXian(xzqDataContainer)
                } else if (btnMeg == 3) {
                    for (s in dataXian[currentYear].XZQDATA) {
                        for (i in analysisList) {
                            if (analysisList[i].code == dataXian[currentYear].XZQDATA[s].XZQDM) {
                                dataXian[currentYear].XZQDATA[s].xzqName = analysisList[i].name
                            }
                        }
                    }
                    let yddData1 = []
                    yddData1.push(dataXian.YDD)
                    Ydd.push({
                        dj: '优等地',
                        type: 'bar',
                        barWidth: '20%',
                        data: yddData1,
                        itemStyle: {
                            color: levelColor[0]
                        }
                    })
                    dldjBar('优等地', time, '#containerClassLine1', Ydd, xData)
                    // 高等地数据 
                    let gddData1 = []
                    gddData1.push(dataXian.GDD)
                    Gdd.push({
                        dj: '高等地',
                        type: 'bar',
                        barWidth: '20%',
                        data: gddData1,
                        itemStyle: {
                            color: levelColor[1]
                        }
                    })
                    dldjBar('高等地', time, '#containerClassLine2', Gdd, xData)
                    // 中等地数据 
                    let zddData1 = []
                    zddData1.push(dataXian.ZDD)
                    Zdd.push({
                        dj: '中等地',
                        type: 'bar',
                        barWidth: '20%',
                        data: zddData1,
                        itemStyle: {
                            color: levelColor[2]
                        }
                    })
                    dldjBar('中等地', time, '#containerClassLine3', Zdd, xData)
                    // 低等地数据 
                    let dddData1 = []
                    dddData1.push(dataXian.DDD)
                    Ddd.push({
                        dj: '低等地',
                        type: 'bar',
                        barWidth: '20%',
                        data: dddData1,
                        itemStyle: {
                            color: levelColor[3]
                        }
                    })
                    dldjBar('低等地', time, '#containerClassLine4', Ddd, xData)

                }


                function shiXian(xzqDataContainer) {
                    // 优等地数据
                    xzqDataContainer.sort(creatCompare("YDD"))
                    xzqDataContainer.map(item => {
                        YDDarr.push(item.YDD)
                        dataName.push(item.xzqName)
                    })
                    Ydd.push({
                        dj: '优等地',
                        type: 'bar',
                        barWidth: '20%',
                        data: YDDarr,
                        itemStyle: {
                            color: levelColor[0]
                        }
                    })
                    dldjBar('优等地', time, '#containerClassLine1', Ydd, dataName)
                    // 高等地数据 
                    dataName = [] // 清空存储Y轴的数组
                    xzqDataContainer.sort(creatCompare("GDD"))
                    xzqDataContainer.map(item => {
                        GDDarr.push(item.GDD)
                        dataName.push(item.xzqName)
                    })
                    Gdd.push({
                        dj: '高等地',
                        type: 'bar',
                        barWidth: '20%',
                        data: GDDarr,
                        itemStyle: {
                            color: levelColor[1]
                        }
                    })
                    dldjBar('高等地', time, '#containerClassLine2', Gdd, dataName)
                    // 中等地数据 
                    dataName = [] // 清空存储Y轴的数组
                    xzqDataContainer.sort(creatCompare("ZDD"))
                    xzqDataContainer.map(item => {
                        ZDDarr.push(item.ZDD)
                        dataName.push(item.xzqName)
                    })
                    Zdd.push({
                        dj: '中等地',
                        type: 'bar',
                        barWidth: '20%',
                        data: ZDDarr,
                        itemStyle: {
                            color: levelColor[2]
                        }
                    })
                    dldjBar('中等地', time, '#containerClassLine3', Zdd, dataName)
                    // 低等地数据
                    dataName = [] // 清空存储Y轴的数组
                    xzqDataContainer.sort(creatCompare("DDD"))
                    xzqDataContainer.map(item => {
                        DDDarr.push(item.DDD)
                        dataName.push(item.xzqName)
                    })
                    Ddd.push({
                        dj: '低等地',
                        type: 'bar',
                        barWidth: '20%',
                        data: DDDarr,
                        itemStyle: {
                            color: levelColor[3]
                        }
                    })
                    dldjBar('低等地', time, '#containerClassLine4', Ddd, dataName)
                }
            }

        }

    }
    $(".loading").hide();
}
// 画行政区划的柱图
function dldjBar(name, time, dom, echarBarData, xData) {
    xData = xData.map(item=>{
        if (!item) {
            return '—'
        }else{
            return item
        }
    })
    console.log(xData);
    var mCharts1 = echarts.init(document.querySelector(dom))
    let option = {
        title: [{
            text: name + "行政区分布",
            textStyle: {
                fontSize: 13,
            },
            left: 10,
        }, {
            text: time + "年份",
            textStyle: {
                fontSize: 8,
            },
            right: 28,
        }],
        tooltip: {
            trigger: 'axis'
        },
        grid: {
            left: '3%',
            right: '4%',
            bottom: '3%',
            containLabel: true
        },
        toolbox: {
            feature: {
                saveAsImage: {}
            }
        },
        yAxis: {
            type: 'category',
            boundaryGap: false,
            data: xData,
            axisLabel: {
                inside: false,
                textStyle: {
                    color: '#000',
                    fontSize: '10',
                    itemSize: ''

                }
            }
        },
        xAxis: {
            type: 'value'
        },
        series: echarBarData
    };
    window.onresize = function () {
        mCharts1.resize()
    }
    mCharts1.setOption(option)
}

// 耕地质量类别总量变化趋势图 
function echartsLineBar() {
    // #  
    let dataLineBar = [] 
    if (btnType) {
        if (btnMeg == 1) { // 点击
            dataLineBar = dataSheng
        } else if (btnMeg == 2) { // 点击市
            dataLineBar = dataShi
        } else if (btnMeg == 3) {
            dataLineBar = dataXian
        }
    } else {
        dataLineBar = objList 
    }
    let mChartsLine = echarts.init(document.querySelector('#mychartsLine'))
    var xAxis = [];
    var series = [];
    var series1 = [];
    for (num in dataLineBar) {
        xAxis.push(num)
        series.push({
            value: dataLineBar[num].GDZL,
            itemStyle: {
                color: 'rgb(79, 129, 189)'
            }
        })
        series1.push({
            value: dataLineBar[num].MJBH
        })
    }


    var seriesList = [];
    var xAxioList = [];
    var levelIndex = -1
    var levelArr = []
    for (item in dataLineBar) {
        levelArr.push(dataLineBar[item].YDD)
    }
    for (item in dataLineBar) {
        levelArr.push(dataLineBar[item].GDD)
    }
    for (item in dataLineBar) {
        levelArr.push(dataLineBar[item].ZDD)
    }
    for (item in dataLineBar) {
        levelArr.push(dataLineBar[item].DDD)
    }
    for (item in dataLineBar) {
        levelIndex++
        seriesList.push({
            type: 'line',
            name: levelName[levelIndex],
            data: arrTrans(4, levelArr)[levelIndex],
            itemStyle: {
                color: levelColor[levelIndex]
            }
        })
        xAxioList.push(dataLineBar[item].YEAR)
    }
    seriesList.push({
        name: '耕地总量',
        type: 'bar',
        data: series,
        barWidth: 32,
        markPoint: {
            data: [{
                    type: 'max',
                    name: '最大值'
                },
                {
                    type: 'min',
                    name: '最小值'
                }
            ]
        },
        markLine: {
            data: [{
                type: 'average',
                name: '平均值'
            }]
        }
    }, {
        name: '面积变化',
        type: 'bar',
        data: series1,
        barWidth: 32,
        markPoint: {
            data: [{
                    type: 'max',
                    name: '最大值'
                },
                {
                    type: 'min',
                    name: '最小值'
                }
            ]
        },
        markLine: {
            data: [{
                type: 'average',
                name: '平均值'
            }]
        }
    })
    levelName.push('耕地总量', '面积变化')
    chartOption = {
        color: globleConfig.color,
        tooltip: {
            trigger: 'axis',
            formatter: function (data) { 
                return `
                        ${data[0].name}年<br /> 
                        ${data[0].seriesName}:${data[0].value}公顷<br />
                        ${data[1].seriesName}:${data[1].value}公顷<br />
                        ${data[2].seriesName}:${data[2].value}公顷<br />
                        ${data[3].seriesName}:${data[3].value}公顷<br />
                        ${data[4].seriesName}:${data[4].value}公顷<br />
                        ${data[5].seriesName}:${data[5].value}公顷<br />
                    `
            }

        },
        grid: {
            top: 90,
            left: 85,
            bottom: 60
        },
        legend: {
            data: levelName,
            orient: 'horizontal',
            bottom: 0,
        },
        toolbox: {
            show: true,
            orient: 'vertical',
            left: 'right',
            top: 'center',
            feature: {
                mark: {
                    show: true
                },
                magicType: {
                    show: true,
                    type: ['line', 'bar']
                },
                restore: {
                    show: true
                },
                saveAsImage: {
                    show: true
                }
            }
        },
        calculable: true,
        xAxis: [{
            type: 'category',
            boundaryGap: true,
            data: xAxioList,
        }],
        yAxis: [{
            type: 'value',
            axisLine: {
                show: true
            },
            axisTick: {
                show: true
            }
        }],
        series: seriesList
    };


    mChartsLine.setOption(chartOption)
    if (chartOption) {
        if (mChartsLine) {
            mChartsLine = echarts.init(document.getElementById('mychartsLine'));
        } else {
            mChartsLine.clear();
        }
        mChartsLine.setOption(chartOption);
        mChartsLine.on('click', function (params) {
            // arableLandlevel(params.name, 2) // 点击年份 
            // resertEcharts(null, null, null, parseInt(params.name));
        });
    }
    $(".loading").hide();
}
// 耕地质量构成饼状图
function echarPieFun(arableArr, total) {
    let arableArr1 = [arableArr.YDD, arableArr.GDD, arableArr.ZDD, arableArr.DDD]
    let pieData = []
    let pieDataIndex = -1
    arableArr1.map(item => {
        pieDataIndex++
        pieData.push({
            value: item,
            name: levelName[pieDataIndex],
            label: {
                fontSize: 8
            },
            itemStyle: {
                color: levelColor[pieDataIndex]
            }
        })
    })
    var mCharts = echarts.init(document.querySelector('#containerPie'))
    var option = {
        title: {
            text: '耕地质量构成 （单位:公顷）',
            left: 'center',
            textStyle: {
                fontWeight: 'normal',
                fontSize: 10,
            },
            bottom: 70,
            right: 20
        },
        tooltip: {
            trigger: 'item'
        },
        // tooltip: {
        //     formatter: function (data) {
        //         let bl = parseInt(data.data.value / total * 100) + '%'

        //         return `
        //             ${data.data.name} <br />
        //             总量:${data.data.value} <br />
        //             本级占比:${bl} <br />
        //         `
        //     }
        // },
        z: 10,
        series: [{
            name: '耕地质量构成',
            type: 'pie',
            radius: '50%',
            data: pieData,
            labelLine: {
                show: true,
                length: 8,
                length2: 3
            }
        }],

    };
    // window.onresize = function () {
    //     mCharts.resize();
    // }
    // windowResizeFun()
    window.onresize = function () {
        mCharts.resize()
    }
    mCharts.setOption(option)
}