markLine,tooltipecharts 柱状配置项内容和展示

配置项如下
                  var data = {
                "historymax": {
                    "times": [
                        "2012072119",
                        "2012072120",
                        "2012072122",
                        "2012072122",
                        "2012072202"
                    ],
                    "value": [
                        83.9,
                        205.3,
                        246.9,
                        350.8,
                        371.3
                    ]
                },
                "evevtmax": [{
                        "times": [
                            "2016072010",
                            "2016072015",
                            "2016072015",
                            "2016072018",
                            "2016072022"
                        ],
                        "value": [
                            19.6,
                            54,
                            97.6,
                            154.1,
                            199.7
                        ]
                    },
                    {
                        "times": [
                            "2012072119",
                            "2012072120",
                            "2012072122",
                            "2012072122",
                            "2012072202"
                        ],
                        "value": [
                            83.9,
                            205.3,
                            246.9,
                            350.8,
                            371.3
                        ]
                    }
                ],
                "xaxis": [
                    1,
                    5,
                    10,
                    15,
                    20,
                    25,
                    30,
                    40,
                    50,
                    60,
                    70,
                    80,
                    100,
                    120,
                    140,
                    170,
                    200,
                    250,
                    400
                ],
                "odds1": [
                    46.3,
                    13.7,
                    5.8,
                    3.1,
                    2.2,
                    1.6,
                    1.2,
                    0.8,
                    0.4,
                    0.3,
                    0.1,
                    0.1,
                    0,
                    0,
                    0,
                    0,
                    0,
                    0,
                    0
                ],
                "odds3": [
                    63.8,
                    30.1,
                    16,
                    9.7,
                    6.8,
                    4.7,
                    3.8,
                    2.3,
                    1.3,
                    0.9,
                    0.8,
                    0.8,
                    0.4,
                    0.3,
                    0.2,
                    0.1,
                    0.1,
                    0,
                    0
                ],
                "odds6": [
                    71.2,
                    41.3,
                    26.3,
                    16.7,
                    12.5,
                    8.9,
                    6.7,
                    4.3,
                    3,
                    2.2,
                    1.8,
                    1.6,
                    1.1,
                    0.6,
                    0.4,
                    0.4,
                    0.3,
                    0,
                    0
                ],
                "odds12": [
                    76.9,
                    51,
                    36.3,
                    26.2,
                    21,
                    15.6,
                    11.2,
                    7.5,
                    5.2,
                    3.6,
                    3,
                    2.7,
                    2.3,
                    1.4,
                    0.9,
                    0.7,
                    0.6,
                    0.6,
                    0
                ],
                "odds24": [
                    82.4,
                    59.5,
                    45.4,
                    34.8,
                    29.6,
                    24.6,
                    19.7,
                    13.6,
                    9.5,
                    6.5,
                    5,
                    4,
                    3.1,
                    2.2,
                    1.8,
                    1.5,
                    0.8,
                    0.8,
                    0
                ]
            };

            var that = this;

            var odds; //y轴数据

            var xData = data.xaxis; //x轴数据

            var renderX = []; // x轴的数据初始化

            for (var ti = 0; ti < xData.length; ti++) {
                var maxIndex = xData.length - 1;
                if (ti === 0) {
                    var min = '>' + xData[ti];
                    renderX.push(min);
                } else if (ti === maxIndex) {
                    var max = '>' + xData[maxIndex];
                    renderX.push(max);
                } else {
                    renderX.push(String(xData[ti]));
                }
            }

            var maxValue_arr = data.historymax.value || [];
            var m;

            if (that.tqjlStatus === 1) {
                odds = data.odds1;
                m = maxValue_arr[0];
            } else if (that.tqjlStatus === 3) {
                odds = data.odds3;
                m = maxValue_arr[1];
            } else if (that.tqjlStatus === 6) {
                odds = data.odds6;
                m = maxValue_arr[2];
            } else if (that.tqjlStatus === 12) {
                odds = data.odds12;
                m = maxValue_arr[3];
            } else {
                odds = data.odds24;
                m = maxValue_arr[4];
            }

            var myValue; //历史最大过滤出来
            for (var i = 0; i < xData.length; i++) {

                var myLength = xData.length;

                if (m < xData[i]) {
                    myValue = xData[i] - m <= m - xData[i - 1] ? xData[i] : xData[i - 1];
                    myValue = myValue.toString();

                    if (myValue === xData[myLength - 1].toString()) {
                        myValue = '>' + myValue;
                    }
                    if (myValue === xData[0].toString()) {
                        myValue = '>' + myValue;
                    }

                    break;
                }
            }

            var evevtmax_arr = data.evevtmax || [];
            var markLineData = [];
            var mcValue; //事件的最大过滤出来
            for (var j = 0; j < evevtmax_arr.length; j++) {
                var mc_arr = evevtmax_arr[j].value;
                var mc;
                if (that.tqjlStatus === 1) {
                    mc = mc_arr[0];
                } else if (that.tqjlStatus === 3) {
                    odds = data.odds3;
                    mc = mc_arr[1];
                } else if (that.tqjlStatus === 6) {
                    odds = data.odds6;
                    mc = mc_arr[2];
                } else if (that.tqjlStatus === 12) {
                    odds = data.odds12;
                    mc = mc_arr[3];
                } else {
                    odds = data.odds24;
                    mc = mc_arr[4];
                }

                for (var k = 0; k < xData.length; k++) {

                    var mcLength = xData.length;

                    if (mc < xData[k]) {
                        mcValue = xData[k] - mc <= mc - xData[k - 1] ? xData[k] : xData[k - 1];
                        mcValue = mcValue.toString();

                        if (mcValue === xData[mcLength - 1].toString()) {
                            mcValue = '>' + mcValue;
                        }
                        if (mcValue === xData[0].toString()) {
                            mcValue = '>' + mcValue;
                        }

                        break;
                    }
                }
                var arr = [{
                        name: mc + 'mm',
                        xAxis: mcValue,
                        yAxis: '0'
                    },
                    {
                        xAxis: mcValue,
                        yAxis: '100'
                    }
                ];
                markLineData.push(arr);
            }


            var option = {
                color: ['#34bbff'],
                tooltip: {
                    show: true,
                    trigger: 'item',
                    formatter: function() {
                        return '11111111111111'
                    },
                    axisPointer: {
                        type: 'shadow'
                    },
                },
                grid: {
                    left: '20',
                    right: '18',
                    bottom: '35',
                    top: "20",
                    containLabel: true
                },
                xAxis: [{
                    name: '降水量/mm',
                    type: 'category',
                    nameLocation: "middle",
                    nameGap: 25,
                    data: renderX
                }],
                yAxis: [{
                    name: '累积频率(%)',
                    nameGap: 35,
                    nameLocation: 'middle',
                    nameRotate: 90,
                    type: 'value',
                    min: 0,
                    max: 100
                }],
                series: [{
                        name: "所占比例",
                        type: 'bar',
                        barWidth: '15',
                        data: odds,
                        // markLine: {
                        //     silent: false,
                        //     // toolTip: {
                        //     //     show: true,
                        //     //     formatter: 'xxxxxx'
                        //     // },
                        //     // label: {
                        //     //     show: true,
                        //     //     position: 'middle',
                        //     //     formatter: function () {
                        //     //         alert('shemegui');
                        //     //         return 'hahah'
                        //     //     }
                        //     // },
                        //     symbolSize: 0,
                        //     "itemStyle": {
                        //         type: "line",
                        //         "normal": {
                        //             lineStyle: {
                        //                 "color": "#0000ff",
                        //                 "width": 2,
                        //                 "type": "dashed"
                        //             }
                        //         }
                        //     },
                        //     data: markLineData
                        // }
                    },
                    {
                        type: 'line',
                        "itemStyle": {
                            type: "line",
                            "normal": {
                                lineStyle: {
                                    "color": "#217dc3",
                                    "width": 1,
                                    "type": "solid"
                                }
                            }
                        },
                        data: odds,
                        markLine: { //历史最大
                            silent: false,
                            tooltip: {
                                formatter: function() {
                                    return '123456'
                                }
                            },
                            symbolSize: 0,
                            "itemStyle": {
                                type: "line",
                                "normal": {
                                    lineStyle: {
                                        "color": "#ff0000",
                                        "width": 1,
                                        "type": "dashed"
                                    }
                                }
                            },
                            data: [
                                [{
                                        name: m + 'mm',
                                        coord: ['20', '0']
                                    },
                                    {
                                        coord: ['20', '100']
                                    }
                                ]
                            ]
                        }
                    }
                ]
            };
    
截图如下