检测分析

描述:当前是关于Echarts图表中的 散点图 示例。
 
            var dataBJ = [
    [1, 55, 9, 56, 0.46, 18, 6, "良"],
    [2, 25, 11, 21, 0.65, 34, 9, "优"],
    [3, 56, 7, 63, 0.3, 14, 5, "良"],
    [4, 33, 7, 29, 0.33, 16, 6, "优"],
    [5, 42, 24, 44, 0.76, 40, 16, "优"],
    [6, 82, 58, 90, 1.77, 68, 33, "良"],
    [7, 74, 49, 77, 1.46, 48, 27, "良"],
    [8, 78, 55, 80, 1.29, 59, 29, "良"],
    [9, 267, 216, 280, 4.8, 108, 64, "重度污染"],
    [10, 185, 127, 216, 2.52, 61, 27, "中度污染"],
    [11, 39, 19, 38, 0.57, 31, 15, "优"],
    [12, 41, 11, 40, 0.43, 21, 7, "优"],
    [13, 64, 38, 74, 1.04, 46, 22, "良"],
    [14, 108, 79, 120, 1.7, 75, 41, "轻度污染"],
    [15, 108, 63, 116, 1.48, 44, 26, "轻度污染"],
    [16, 33, 6, 29, 0.34, 13, 5, "优"],
    [17, 94, 66, 110, 1.54, 62, 31, "良"],
    [18, 186, 142, 192, 3.88, 93, 79, "中度污染"],
    [19, 57, 31, 54, 0.96, 32, 14, "良"],
    [20, 22, 8, 17, 0.48, 23, 10, "优"],
    [21, 39, 15, 36, 0.61, 29, 13, "优"],
    [22, 94, 69, 114, 2.08, 73, 39, "良"],
    [23, 99, 73, 110, 2.43, 76, 48, "良"],
    [24, 31, 12, 30, 0.5, 32, 16, "优"],
    [25, 42, 27, 43, 1, 53, 22, "优"],
    [26, 154, 117, 157, 3.05, 92, 58, "中度污染"],
    [27, 234, 185, 230, 4.09, 123, 69, "重度污染"],
    [28, 160, 120, 186, 2.77, 91, 50, "中度污染"],
    [29, 134, 96, 165, 2.76, 83, 41, "轻度污染"],
    [30, 52, 24, 60, 1.03, 50, 21, "良"],
    [31, 46, 5, 49, 0.28, 10, 6, "优"]
];

var dataGZ = [
    [1, 26, 37, 27, 1.163, 27, 13, "优"],
    [2, 85, 62, 71, 1.195, 60, 8, "良"],
    [3, 78, 38, 74, 1.363, 37, 7, "良"],
    [4, 21, 21, 36, 0.634, 40, 9, "优"],
    [5, 41, 42, 46, 0.915, 81, 13, "优"],
    [6, 56, 52, 69, 1.067, 92, 16, "良"],
    [7, 64, 30, 28, 0.924, 51, 2, "良"],
    [8, 55, 48, 74, 1.236, 75, 26, "良"],
    [9, 76, 85, 113, 1.237, 114, 27, "良"],
    [10, 91, 81, 104, 1.041, 56, 40, "良"],
    [11, 84, 39, 60, 0.964, 25, 11, "良"],
    [12, 64, 51, 101, 0.862, 58, 23, "良"],
    [13, 70, 69, 120, 1.198, 65, 36, "良"],
    [14, 77, 105, 178, 2.549, 64, 16, "良"],
    [15, 109, 68, 87, 0.996, 74, 29, "轻度污染"],
    [16, 73, 68, 97, 0.905, 51, 34, "良"],
    [17, 54, 27, 47, 0.592, 53, 12, "良"],
    [18, 51, 61, 97, 0.811, 65, 19, "良"],
    [19, 91, 71, 121, 1.374, 43, 18, "良"],
    [20, 73, 102, 182, 2.787, 44, 19, "良"],
    [21, 73, 50, 76, 0.717, 31, 20, "良"],
    [22, 84, 94, 140, 2.238, 68, 18, "良"],
    [23, 93, 77, 104, 1.165, 53, 7, "良"],
    [24, 99, 130, 227, 3.97, 55, 15, "良"],
    [25, 146, 84, 139, 1.094, 40, 17, "轻度污染"],
    [26, 113, 108, 137, 1.481, 48, 15, "轻度污染"],
    [27, 81, 48, 62, 1.619, 26, 3, "良"],
    [28, 56, 48, 68, 1.336, 37, 9, "良"],
    [29, 82, 92, 174, 3.29, 0, 13, "良"],
    [30, 106, 116, 188, 3.628, 101, 16, "轻度污染"],
    [31, 118, 50, 0, 1.383, 76, 11, "轻度污染"]
];

var dataSH = [
    [1, 91, 45, 125, 0.82, 34, 23, "良"],
    [2, 65, 27, 78, 0.86, 45, 29, "良"],
    [3, 83, 60, 84, 1.09, 73, 27, "良"],
    [4, 109, 81, 121, 1.28, 68, 51, "轻度污染"],
    [5, 106, 77, 114, 1.07, 55, 51, "轻度污染"],
    [6, 109, 81, 121, 1.28, 68, 51, "轻度污染"],
    [7, 106, 77, 114, 1.07, 55, 51, "轻度污染"],
    [8, 89, 65, 78, 0.86, 51, 26, "良"],
    [9, 53, 33, 47, 0.64, 50, 17, "良"],
    [10, 80, 55, 80, 1.01, 75, 24, "良"],
    [11, 117, 81, 124, 1.03, 45, 24, "轻度污染"],
    [12, 99, 71, 142, 1.1, 62, 42, "良"],
    [13, 95, 69, 130, 1.28, 74, 50, "良"],
    [14, 116, 87, 131, 1.47, 84, 40, "轻度污染"],
    [15, 108, 80, 121, 1.3, 85, 37, "轻度污染"],
    [16, 134, 83, 167, 1.16, 57, 43, "轻度污染"],
    [17, 79, 43, 107, 1.05, 59, 37, "良"],
    [18, 71, 46, 89, 0.86, 64, 25, "良"],
    [19, 97, 71, 113, 1.17, 88, 31, "良"],
    [20, 84, 57, 91, 0.85, 55, 31, "良"],
    [21, 87, 63, 101, 0.9, 56, 41, "良"],
    [22, 104, 77, 119, 1.09, 73, 48, "轻度污染"],
    [23, 87, 62, 100, 1, 72, 28, "良"],
    [24, 168, 128, 172, 1.49, 97, 56, "中度污染"],
    [25, 65, 45, 51, 0.74, 39, 17, "良"],
    [26, 39, 24, 38, 0.61, 47, 17, "优"],
    [27, 39, 24, 39, 0.59, 50, 19, "优"],
    [28, 93, 68, 96, 1.05, 79, 29, "良"],
    [29, 188, 143, 197, 1.66, 99, 51, "中度污染"],
    [30, 174, 131, 174, 1.55, 108, 50, "中度污染"],
    [31, 187, 143, 201, 1.39, 89, 53, "中度污染"]
];

var schema = [{
        name: 'date',
        index: 0,
        text: '日'
    },
    {
        name: 'AQIindex',
        index: 1,
        text: 'AQI指数'
    },
    {
        name: 'PM25',
        index: 2,
        text: 'PM2.5'
    },
    {
        name: 'PM10',
        index: 3,
        text: 'PM10'
    },
    {
        name: 'CO',
        index: 4,
        text: '一氧化碳(CO)'
    },
    {
        name: 'NO2',
        index: 5,
        text: '二氧化氮(NO2)'
    },
    {
        name: 'SO2',
        index: 6,
        text: '二氧化硫(SO2)'
    }
];


var itemStyle = {
    normal: {
        opacity: 0.8,
        shadowBlur: 10,
        shadowOffsetX: 0,
        shadowOffsetY: 0,
        shadowColor: 'rgba(0, 0, 0, 0.5)'
    }
};

option = {
    backgroundColor: '#404a59',
    color: [
        '#dd4444', '#fec42c', '#80F1BE'
    ],
    legend: {
        y: 'top',
        data: ['北京', '上海', '广州'],
        textStyle: {
            color: '#fff',
            fontSize: 16
        }
    },
    grid: {
        x: '10%',
        x2: 150,
        y: '18%',
        y2: '10%'
    },
    tooltip: {
        padding: 10,
        backgroundColor: '#222',
        borderColor: '#777',
        borderWidth: 1,
        formatter: function(obj) {
            var value = obj.value;
            return '<div style="border-bottom: 1px solid rgba(255,255,255,.3); font-size: 18px;padding-bottom: 7px;margin-bottom: 7px">' +
                obj.seriesName + ' ' + value[0] + '日:' +
                value[7] +
                '</div>' +
                schema[1].text + ':' + value[1] + '<br>' +
                schema[2].text + ':' + value[2] + '<br>' +
                schema[3].text + ':' + value[3] + '<br>' +
                schema[4].text + ':' + value[4] + '<br>' +
                schema[5].text + ':' + value[5] + '<br>' +
                schema[6].text + ':' + value[6] + '<br>';
        }
    },
    xAxis: {
        type: 'value',
        name: '日期',
        nameGap: 16,
        nameTextStyle: {
            color: '#fff',
            fontSize: 14
        },
        max: 31,
        splitLine: {
            show: false
        },
        axisLine: {
            lineStyle: {
                color: '#eee'
            }
        }
    },
    yAxis: {
        type: 'value',
        name: 'AQI指数',
        nameLocation: 'end',
        nameGap: 20,
        nameTextStyle: {
            color: '#fff',
            fontSize: 16
        },
        axisLine: {
            lineStyle: {
                color: '#eee'
            }
        },
        splitLine: {
            show: false
        }
    },
    visualMap: [{
            left: 'right',
            top: '10%',
            dimension: 2,
            min: 0,
            max: 250,
            itemWidth: 30,
            itemHeight: 120,
            calculable: true,
            precision: 0.1,
            text: ['圆形大小:PM2.5'],
            textGap: 30,
            textStyle: {
                color: '#fff'
            },
            inRange: {
                symbolSize: [10, 70]
            },
            outOfRange: {
                symbolSize: [10, 70],
                color: ['rgba(255,255,255,.2)']
            },
            controller: {
                inRange: {
                    color: ['#c23531']
                },
                outOfRange: {
                    color: ['#444']
                }
            }
        },
        {
            left: 'right',
            bottom: '5%',
            dimension: 6,
            min: 0,
            max: 50,
            itemHeight: 120,
            calculable: true,
            precision: 0.1,
            text: ['明暗:二氧化硫'],
            textGap: 30,
            textStyle: {
                color: '#fff'
            },
            inRange: {
                colorLightness: [1, 0.5]
            },
            outOfRange: {
                color: ['rgba(255,255,255,.2)']
            },
            controller: {
                inRange: {
                    color: ['#c23531']
                },
                outOfRange: {
                    color: ['#444']
                }
            }
        }
    ],
    series: [{
            name: '北京',
            type: 'scatter',
            itemStyle: itemStyle,
            data: dataBJ,
            markPoint: {
                data: [{
                        type: 'max',
                        name: '最大值'
                    },
                    {
                        type: 'min',
                        name: '最小值'
                    }
                ]
            },
            markLine: {
                lineStyle: {
                    normal: {
                        type: 'solid'
                    }
                },
                data: [{
                        color: '#FFFFF0',
                        yAxis: 160,
                        name: '平均值'
                    },
                    {
                        yAxis: 250,
                        name: '平均值'
                    }
                ]
            }
        },
        {
            name: '上海',
            type: 'scatter',
            itemStyle: itemStyle,
            data: dataSH
        },
        {
            name: '广州',
            type: 'scatter',
            itemStyle: itemStyle,
            data: dataGZ
        }
    ]
};