78Echarts - 散点图(Logarithmic Regression)

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效果图

在这里插入图片描述

源代码

var data0 = [
    [28604, 77, 17096869, 'Australia', 1990],
    [31163, 77.4, 27662440, 'Canada', 1990],
    [1516, 68, 1154605773, 'China', 1990],
    [13670, 74.7, 10582082, 'Cuba', 1990],
    [28599, 75, 4986705, 'Finland', 1990],
    [29476, 77.1, 56943299, 'France', 1990],
    [31476, 75.4, 78958237, 'Germany', 1990],
    [28666, 78.1, 254830, 'Iceland', 1990],
    [1777, 57.7, 870601776, 'India', 1990],
    [29550, 79.1, 122249285, 'Japan', 1990],
    [2076, 67.9, 20194354, 'North Korea', 1990],
    [12087, 72, 42972254, 'South Korea', 1990],
    [24021, 75.4, 3397534, 'New Zealand', 1990],
    [43296, 76.8, 4240375, 'Norway', 1990],
    [10088, 70.8, 38195258, 'Poland', 1990],
    [19349, 69.6, 147568552, 'Russia', 1990],
    [10670, 67.3, 53994605, 'Turkey', 1990],
    [26424, 75.7, 57110117, 'United Kingdom', 1990],
    [37062, 75.4, 252847810, 'United States', 1990]
];

var data1 = [
    [44056, 81.8, 23968973, 'Australia', 2015],
    [43294, 81.7, 35939927, 'Canada', 2015],
    [13334, 76.9, 1376048943, 'China', 2015],
    [21291, 78.5, 11389562, 'Cuba', 2015],
    [38923, 80.8, 5503457, 'Finland', 2015],
    [37599, 81.9, 64395345, 'France', 2015],
    [44053, 81.1, 80688545, 'Germany', 2015],
    [42182, 82.8, 329425, 'Iceland', 2015],
    [5903, 66.8, 1311050527, 'India', 2015],
    [36162, 83.5, 126573481, 'Japan', 2015],
    [1390, 71.4, 25155317, 'North Korea', 2015],
    [34644, 80.7, 50293439, 'South Korea', 2015],
    [34186, 80.6, 4528526, 'New Zealand', 2015],
    [64304, 81.6, 5210967, 'Norway', 2015],
    [24787, 77.3, 38611794, 'Poland', 2015],
    [23038, 73.13, 143456918, 'Russia', 2015],
    [19360, 76.5, 78665830, 'Turkey', 2015],
    [38225, 81.4, 64715810, 'United Kingdom', 2015],
    [53354, 79.1, 321773631, 'United States', 2015]
];

var data = [
    [28604, 77],
    [31163, 77.4],
    [1516, 68],
    [13670, 74.7],
    [28599, 75],
    [29476, 77.1],
    [31476, 75.4],
    [28666, 78.1],
    [1777, 57.7],
    [29550, 79.1],
    [2076, 67.9],
    [12087, 72],
    [24021, 75.4],
    [43296, 76.8],
    [10088, 70.8],
    [19349, 69.6],
    [10670, 67.3],
    [26424, 75.7],
    [37062, 75.4],
    [44056, 81.8],
    [43294, 81.7],
    [13334, 76.9],
    [21291, 78.5],
    [38923, 80.8],
    [37599, 81.9],
    [44053, 81.1],
    [42182, 82.8],
    [5903, 66.8],
    [36162, 83.5],
    [1390, 71.4],
    [34644, 80.7],
    [34186, 80.6],
    [64304, 81.6],
    [24787, 77.3],
    [23038, 73.13],
    [19360, 76.5],
    [38225, 81.4],
    [53354, 79.1]
];

// See https://github.com/ecomfe/echarts-stat
var myRegression = ecStat.regression('logarithmic', data);

myRegression.points.sort(function(a, b) {
    return a[0] - b[0];
});

option = {
    legend: {
        data: ['1990', '2015'],
        bottom: 20
    },
    title: {
        text: '1990 and 2015 per capita life expectancy and GDP',
        subtext: 'By ecStat.regression',
        sublink: 'https://github.com/ecomfe/echarts-stat',
        left: 'center'
    },
    tooltip: {
        trigger: 'axis',
        axisPointer: {
            type: 'cross'
        }
    },
    grid: {
        top: 80,
        bottom: 90
    },
    xAxis: {
        type: 'value',
        splitLine: {
            lineStyle: {
                type: 'dashed'
            }
        },
    },
    yAxis: {
        type: 'value',
        splitLine: {
            lineStyle: {
                type: 'dashed'
            }
        },
    },
    series: [{
        name: '1990',
        type: 'scatter',
        symbolSize: function(data) {
            return Math.sqrt(data[2]) / 5e2;
        },
        label: {
            emphasis: {
                show: true,
                formatter: function(param) {
                    return param.data[3];
                },
                position: 'top'
            }
        },
        itemStyle: {
            normal: {
                shadowBlur: 10,
                shadowColor: 'rgba(120, 36, 50, 0.5)',
                shadowOffsetY: 5,
                color: new echarts.graphic.RadialGradient(0.4, 0.3, 1, [{
                    offset: 0,
                    color: 'rgb(251, 118, 123)'
                }, {
                    offset: 1,
                    color: 'rgb(204, 46, 72)'
                }])
            }
        },
        data: data0
    }, {
        name: '2015',
        type: 'scatter',
        symbolSize: function(data) {
            return Math.sqrt(data[2]) / 5e2;
        },
        label: {
            emphasis: {
                show: true,
                formatter: function(param) {
                    return param.data[3];
                },
                position: 'top'
            }
        },
        itemStyle: {
            normal: {
                shadowBlur: 10,
                shadowColor: 'rgba(25, 100, 150, 0.5)',
                shadowOffsetY: 5,
                color: new echarts.graphic.RadialGradient(0.4, 0.3, 1, [{
                    offset: 0,
                    color: 'rgb(129, 227, 238)'
                }, {
                    offset: 1,
                    color: 'rgb(25, 183, 207)'
                }])
            }
        },
        data: data1
    }, {
        name: 'line',
        type: 'line',
        lineStyle: {
            normal: {
                color: '#2f4554'
            }
        },
        smooth: true,
        showSymbol: false,
        data: myRegression.points,
        markPoint: {
            itemStyle: {
                normal: {
                    color: 'transparent'
                }
            },
            label: {
                normal: {
                    show: true,
                    position: 'left',
                    formatter: myRegression.expression,
                    textStyle: {
                        color: '#333',
                        fontSize: 14
                    }
                }
            },
            data: [{
                coord: myRegression.points[myRegression.points.length - 1]
            }]
        }
    }]
};

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转载自blog.csdn.net/qq_20042935/article/details/89712917