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柱状图和折线图双纵轴时候一侧用 dataMin 另一侧不用,图会刺破 #6677

@charlestang

Description

@charlestang

One-line summary [问题简述]

在一张图上,整合柱状图和折线图。左侧Y轴是柱状图Y轴,右侧Y轴是折线图Y轴。左侧Y轴使用
min: 'dataMin' 而右侧不用的时候,柱状图会向下刺破X轴。

代码范例见:
http://echarts.baidu.com/demo.html#mix-line-bar
将“水量” 纵轴的 min 属性由 0 改为 ‘dataMin’,可100%复现问题。

Version & Environment [版本及环境]

  • ECharts version [ECharts 版本]: 3.7.0
  • Browser version [浏览器类型和版本]: Chrome Version 61.0.3163.79 (Official Build) (64-bit)
  • OS Version [操作系统类型和版本]: macOS 10.12.6 (16G29)

Expected behaviour [期望结果]

图表正常显示。

ECharts option [ECharts配置项]

app.title = '折柱混合';

option = {
    tooltip: {
        trigger: 'axis',
        axisPointer: {
            type: 'cross',
            crossStyle: {
                color: '#999'
            }
        }
    },
    toolbox: {
        feature: {
            dataView: {show: true, readOnly: false},
            magicType: {show: true, type: ['line', 'bar']},
            restore: {show: true},
            saveAsImage: {show: true}
        }
    },
    legend: {
        data:['蒸发量','降水量','平均温度']
    },
    xAxis: [
        {
            type: 'category',
            data: ['1月','2月','3月','4月','5月','6月','7月','8月','9月','10月','11月','12月'],
            axisPointer: {
                type: 'shadow'
            }
        }
    ],
    yAxis: [
        {
            type: 'value',
            name: '水量',
            min: 'dataMin',   /** <---- HERE **/
            max: 250,
            interval: 50,
            axisLabel: {
                formatter: '{value} ml'
            }
        },
        {
            type: 'value',
            name: '温度',
            min: 0,
            max: 25,
            interval: 5,
            axisLabel: {
                formatter: '{value} °C'
            }
        }
    ],
    series: [
        {
            name:'蒸发量',
            type:'bar',
            data:[2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
        },
        {
            name:'降水量',
            type:'bar',
            data:[2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
        },
        {
            name:'平均温度',
            type:'line',
            yAxisIndex: 1,
            data:[2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]
        }
    ]
};

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