[GitHub] [incubator-echarts] wulamao opened a new issue #10283: scatter3D与2D使用同一组数据，它们的数据视图显示的category不一样

[GitBox <gi...@apache.org>]

wulamao opened a new issue #10283: scatter3D与2D使用同一组数据，它们的数据视图显示的category不一样
URL: https://github.com/apache/incubator-echarts/issues/10283
 
 
   ## **One-line summary [问题简述]**
   您好，我绘制了一个3D散点图和一个2D图，它们使用了同一个dataset，dataset数据模型为[[value,value,categorise],...]。在数据视图中它们显示category的地方不一致，3D图中顺序显示0,1,2...，而2D显示为正常的category（字符串）。
   ## **Version & Environment [版本及环境]**
   ECharts version [ECharts 版本]:ECharts GL 1.1.1，ECharts 4.2.1
   Browser version [浏览器类型和版本]:Chrome内核
   OS Version [操作系统类型和版本]:Win10专业版
   ## **Expected behaviour [期望结果]**
   3D数据视图显示字符
   
   ## **ECharts option [ECharts配置项]**
   ```js
   var option = {
               visualMap: [{
                  top: 10,
                  tooltip: {trigger: 'item'},
                  type: 'piecewise',
                  dimension: 2, 
                  categories: tips,
                  inRange: {
                       color: colorTips,
                  },
                  outOfRange: {
                       symbolSize: [5],
                       color: ['#000']
                  },
                  textStyle: {
                      color: '#000'
                  }
               }],
               grid3D: {
                   width: '45%',
                   height: '100%',
                   left: '5%',
                   bottom: '15%',
                   axisLine: {
                       lineStyle: {
                           color: '#000'
                       }
                   },
                   axisPointer: {
                       lineStyle: {
                           color: '#ffbd67'
                       }
                   },
                   viewControl: {
                       autoRotate: false,
                       projection: 'orthographic',//'perspective'
                       orthographicSize: 200,
                       maxorthographicSize: 400,
                       minorthographicSize: 40,
                   },
                   tooltip: {
                       trigger: 'item'
                   },
               },
               xAxis3D: {name: config.xtext},
               yAxis3D: {
                           name: config.ytext,
                           type: 'category',
                           data: tips,
                         },
               zAxis3D: {name: config.ztext},
               dataset: {
                   dimensions: [
                       'Distance',
                       'RSSI',
                       {name: 'Mark', type: 'ordinal'},
                   ],
                   source: data
               },
               grid: [
                       {width: '30%', left: '60%'},
                   ],
                   legend: {
                       data: ['Data']
                   },
                   toolbox: {
                       left: 'center',
                       show: true,
                       feature: {
                           mark: { show: true },
                           dataZoom: { show: true },
                           dataView: { show: true, readOnly: false },
                           restore: { show: true },
                       }
                   },
                   tooltip: {
                       trigger: 'item'
                   },
                   xAxis: [
                       {type: 'value', name: config.xtext},
                   ],
                   yAxis: [
                       {type: 'value', name: config.ztext},
                   ],
               series: [
               {
                   id: 'scatter3D',
                   name: 'scatter3D',
                   type: 'scatter3D',
                   symbolSize: symbolSize,
                   encode: {
                       x: config.xtext,
                       y: 'Mark',//config.ytext,
                       z: config.ztext,
                       tooltip: [0, 1, 2]
                   }
               },
               {
                   id: 'scatter',
                   name: 'scatter',
                   type: 'scatter',
                   symbolSize: symbolSize,
                   markPoint: {
                       symbolSize: symbolSize+5,
                       data: [
                           { type: 'max', name: '最大值' },
                           { type: 'min', name: '最小值' }
                       ]
                   },
                   markLine: {
                       data: [
                           { type: 'average', name: '平均值' }
                       ]
                   },
                   encode: {
                       x: config.xtext,
                       y: config.ztext,
                       tooltip: [0, 1, 2]
                   }
               }],
               dataZoom:[{
                   type: 'inside',
                   show: true,
                   xAxisIndex: [0],
                   realtime: true,
               }],
               toolbox: {
                   feature: {
                       dataZoom: {
                       },
                       restore: {},
                       magicType: {
                       },
                       dataView: {},
                   },
               },
           };
   ```

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