排行榜

const pic1 = 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'
const pic2 = 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'
const pic3 = 'data:image/png;base64,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'
const pic4 = 'data:image/png;base64,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'
// 获取canvas宽度,计算图片位置
var chartWidth = myChart.getWidth()
const picList = [{
    name: '软科',
    pic: pic1
}, {
    name: '医学类',
    pic: pic2
}, {
    name: '区内高校',
    pic: pic3
}, {
    name: '最好大学',
    pic: pic4
}];
var data = {
    area: ['2016', '2017', '2018', '2019', '2020'],
    legend: ['软科', '医学类', '区内高校', '最好大学'],
    data: [
        // 每列值
        [90, 450, 0, 145, 140],
        [6, 28, 26, 25, 23],
        [72, 70, 68, 64, 50],
        [155, 150, 149, 145, 140]
    ]
}
// 每列最大值
var calcMaxArray = [900, 64, 109, 900]


// 获取canvas宽度,计算图片位置
var chartWidth = myChart.getWidth()

var leftList = [27, 22, 15, 15]

// 添0,顶上,让右下网格顶上,颜色叠加效果
data.area.push(0)
data.data.push(0)
// 右下网格左右留白,右下x轴设置最大80,每20一个间隔,将数值全部转化成20内
var emptyData = data.data.map(item => {
    return [2, 2, 2, 2, 2]
})

// graphic图片初始化
var optionElements = picList.map((item, index) => {
    // 计算图片位置
    let leftPercent = 90 / chartWidth * 100 / 2
    return {

        type: 'group',
        // 详情一列宽度 20.75% 
        left: 25.5 + -leftPercent + 20.75 * index + '%',
        top: '3%',
        children: [{
                type: 'image',
                style: {
                    image: item.pic,
                    width: 90,
                    height: 80,
                }
            },
            {
                type: 'text',
                style: {
                    text: item.name,
                    // 图标无法给百分比,故文字与图标写死位置,待寻找更好方案
                    y: 100,
                    x: leftList[index],
                    fill: '#fff',
                    textShadowColor: '#00EAFF',
                    textShadowBlur: 8,
                    fontSize: 15
                }
            }
        ]

    }
})
var emptyBarData = data.area.map(item => {
    return {
        name: item,
        value: 80,
    }
})
var emptyBarData2 = data.area.map(item => {
    return {
        name: item,
        value: Number(item) * 2
    }
})
// 将每列的值按每列最大值比例转化成20内的数据
var turnData = calcMaxArray.map((max, index) => {
    return data.data[index].map((item, id) => {
        return {
            value: item * 16 / max > 16 ? 16 : item * 16 / max,
            name: data.area[id % data.data[index].length],
            itemStyle: {
                color: new echarts.graphic.LinearGradient(1, 0, 0, 0, [{
                    offset: 0,
                    color: 'rgba(0, 204, 255, 1)'
                }, {
                    offset: 1,
                    color: 'rgba(101, 105, 255, 1)'
                }]),
                barBorderRadius: [5, item === max ? 5 : 0, item === max ? 5 : 0, 5]
            },
        }
    })
})
// 将计算转换20内得出的结果用20减去,模拟柱最大值背景
var restData = turnData.map((item, index) => {

    return item.map((item, id) => {
        return {
            total: calcMaxArray[index],
            current: data.data[index] && data.data[index][id],
            value: 16 - item.value > 16 ? 16 : 16 - item.value,
            name: data[id % data.data.length],
            itemStyle: {
                color: 'rgba(59, 126, 170, 0.3)',
                barBorderRadius: [item.value == 0 ? 5 : 0, 5, 5, item.value == 0 ? 5 : 0]
            }
        }
    })
})
// 柱图黄色箭头
var markPointData = turnData.map((item, index) => {
    let b = item.map((it, id) => {
        let a = {
            name: 1,
            value: 1,
            xAxis: 20 * index + 2 + it.value,
            yAxis: data.area[parseInt(id % data.area.length)],
            label: {
                position: 'right',
                show: true,
                offset: [0, 0],
                formatter: params => {
                    return `{trangle|▼}`
                },
                rich: {
                    line: {
                        color: 'rgba(28, 234, 246, 0.3)',
                    },
                    trangle: {
                        fontSize: 16,
                        color: '#FFFB8F',
                        lineHeight: 10,
                        padding: [30, 0, 0, -14],
                        textShadowBlur: 15,
                        textShadowColor: '#FFFB8F'
                    }
                }
            }
        }
        return a;
    })
    return b
})
// 柱数值展示
var markPointData2 = turnData.map((item, index) => {
    let b = item.map((it, id) => {
        let a = {
            name: 1,
            value: 1,
            current: data.data[index][id],
            total: calcMaxArray[index],
            xAxis: 10 + 20 * index,
            yAxis: data.area[parseInt(id % data.area.length)],
            label: {
                offset: [-35, 0],
                position: 'right',
                show: true,
                formatter: params => {
                    return `{current|${params.data.current}}\n{hr|}\n{total|${params.data.total}}`
                },
                rich: {
                    trangle: {
                        fontSize: 16,
                        color: '#FFFB8F',
                        lineHeight: 10,
                        padding: [0, 0, 0, -4],
                        textShadowBlur: 15,
                        textShadowColor: '#FFFB8F'
                    },
                    hr: {
                        backgroundColor: 'rgba(59, 126, 170, 1)',
                        width: 60,
                        height: 1,
                    },
                    current: {
                        fontSize: 20,
                        color: '#FFFFFF',
                        align: 'center',
                        width: 60,
                        padding: [7, 0, 0, 0]
                    },
                    total: {
                        fontSize: 13,
                        color: 'rgba(0, 186, 255, 1)',
                        width: 60,
                        align: 'center',
                        padding: [120, 0, 7, 0],
                    }
                }
            }
        }
        return a;
    })
    return b
})

// 用grid模拟虚线
var gridLine = new Array(8).fill().map((item, index) => {
    let left = index < 4 ? '4%' : 2 + Math.floor(index / 4) * 13 + '%';
    let top = 2 + 16 * (index % 4 + 2) + '%';
    let width = index >= 4 ? 83 + '%' : 8 + '%'
    return {
        left,
        top,
        height: 0,
        width,
        backgroundColor: 'transparent',
        borderColor: 'rgba(10, 132, 197, 0.7)',
        borderType: 'dashed',
        borderWidth: 0.4,
        show: true,
    }
})

var option = {
    backgroundColor: '#000',
    tooltip: {
        show: false
    },
    // 网格设置
    grid: [{
        top: '2%',
        height: '16%',
        left: '14%',
        right: '2%',
        backgroundColor: 'rgba(14, 106, 154, 0.2)',
        show: true,
        borderColor: 'transparent',
    }, {
        top: '2%',
        bottom: '2%',
        left: '2%',
        width: '12%',
        show: true,
        borderColor: 'transparent',
    }, {
        top: '2%',
        bottom: '2%',
        left: '15%',
        right: '2%',
    }, {
        top: '18%',
        left: '2%',
        width: '12%',
        height: 1,
        backgroundColor: 'rgba(10, 132, 197, 1)',
        borderColor: 'transparent',
        show: true,
    }, ...gridLine],
    // x轴
    xAxis: [{
            gridIndex: 0,
            type: 'value',
            show: true,
            axisLine: {
                lineStyle: {
                    color: 'rgba(10, 132, 197, 1)'
                }
            }
        },
        {
            gridIndex: 1,
            type: 'value',
            show: false,
            max: Math.max(...data.area)
        },
        {
            gridIndex: 2,
            type: 'value',
            axisLabel: {
                color: 'rgba(153, 153, 153, 1)',
                show: false
            },
            axisLine: {
                show: false,
                lineStyle: {
                    color: 'rgba(142, 142, 142, 1)'
                },
                // width: 5
            },
            axisTick: {
                show: false,
            },
            splitArea: {
                show: true,
                areaStyle: {
                    color: ['transparent', 'rgba(14, 106, 154, 0.15)']
                }
            },
            splitLine: {
                show: false
            }
        }
    ],
    // y轴
    yAxis: [{
            gridIndex: 0,
            type: 'category',
            show: false,
        }, {
            gridIndex: 1,
            type: 'category',
            show: true,
            data: data.area,
            splitArea: {
                show: true,
                areaStyle: {
                    color: ['rgba(14, 106, 154, 0.2)']
                }
            },
            axisTick: {
                show: false,
            },
            axisLabel: {
                show: false
            },
            axisLine: {
                show: false
            }
        },
        {
            gridIndex: 2,
            show: true,
            type: 'category',
            data: data.area,
            axisTick: {
                show: false,
            },
            axisLabel: {
                show: false
            },
            axisLine: {
                show: false
            },

            splitLine: {
                show: false,
                lineStyle: {
                    color: 'rgba(28, 234, 246, 0.3)',
                    type: 'dashed'
                }
            }
        }
    ],
    series: [{
            type: 'bar',
            xAxisIndex: 1,
            yAxisIndex: 1,
            name: '左下角挤下去',
            barWidth: 50,
            silent: true,
            itemStyle: {
                color: 'transparent'
            },
            data: emptyBarData2
        },
        {
            type: 'bar',
            xAxisIndex: 1,
            yAxisIndex: 1,
            data: data.area,
            label: {
                show: true,
                formatter: params => {
                    console.log(params.data)
                    if (params.data === 0) {
                        return ''
                    } else {
                        return params.data
                    }
                },
                position: 'top',
                color: 'rgba(0, 186, 255, 1)',
                fontSize: 15
            },
            symbolSize: 0.001,
            itemStyle: {
                normal: {
                    color: 'transparent'
                }
            }
        },
        {
            type: 'bar',
            xAxisIndex: 2,
            yAxisIndex: 2,
            name: '右下角挤下去',
            barWidth: 70,
            silent: true,
            itemStyle: {
                color: 'transparent'
            },
            data: emptyBarData
        }
    ]
};
for (var i = 0; i < data.legend.length; i++) {
    // ←左间隔
    option.series.push({
        xAxisIndex: 2,
        yAxisIndex: 2,
        name: data.legend[i],
        type: 'bar',
        stack: '总量',
        barWidth: 10,
        label: {
            show: false,
        },
        itemStyle: {
            barBorderRadius: 5,
            color: 'transparent'
        },
        data: emptyData[i]
    })
    // 左边有颜色柱
    option.series.push({
        xAxisIndex: 2,
        yAxisIndex: 2,
        name: data.legend[i],
        type: 'bar',
        stack: '总量',
        barWidth: 10,
        label: {
            show: false,
        },
        markPoint: {
            silent: true,
            symbolSize: 0.01,
            data: [...markPointData[0], ...markPointData[1], ...markPointData[2], ...markPointData[3]]
        },
        data: turnData[i]
    })
    // 右边背景柱
    option.series.push({
        xAxisIndex: 2,
        yAxisIndex: 2,
        name: data.legend[i],
        type: 'bar',
        stack: '总量',
        barWidth: 10,
        label: {
            show: false,
        },
        data: restData[i],
        markPoint: {
            silent: true,
            symbolSize: 0.01,
            data: [...markPointData2[0], ...markPointData2[1], ...markPointData2[2], ...markPointData2[3]]
        }
    })
    // →右间隔
    option.series.push({
        xAxisIndex: 2,
        yAxisIndex: 2,
        name: data.legend[i],
        type: 'bar',
        stack: '总量',
        barWidth: 10,
        label: {
            show: false,
        },
        itemStyle: {
            barBorderRadius: 5,
            color: 'transparent'
        },
        data: emptyData[i]
    })
}
option.graphic = {
    elements: optionElements
}
myChart.setOption(option);

 

posted @ 2022-01-20 16:20  无你旅行  阅读(538)  评论(0编辑  收藏  举报