谷歌条形图 - 自定义图例文本，表格图表的总值和按列总计

Question

我想获得堆叠条形图图例中成绩的总值。附上图片，我希望拥有...对于以下工作 sn-p。

还有表格图表的按列总计...

我认为这可以通过以下方式完成，但如何完成..

data.setFormattedValue(i, 0, key + ' (' + val + ')');

可以有这样的东西..当鼠标悬停在栏上的一个位置时...需要在单个注释中显示所有等级值..??

是否可以在下图中突出显示的位置具有不同的值？圆圈 B 是图中 Grade1 的总和是正确的。并圈出 A，工具提示总数应显示每个年级注释的特定位置总数，如下所示。

['Location', 'Company', 'Grade1',{ role: 'annotation' }, 'Grade2',{ role: 'annotation' }, 'Grade3',{ role: 'annotation' }, 'Bal-Grade', 'Total', { role: 'annotation' } ],

google.charts.load('current', {
  packages: ['corechart', 'table', 'gauge', 'controls']
}).then(function () {
  drawMainDashboard();
});

function drawMainDashboard() {
  var dashboard = new google.visualization.Dashboard(
  document.getElementById('dashboard_division1'));

  var categoryPicker = new google.visualization.ControlWrapper({
  'controlType': 'CategoryFilter',
  'containerId': 'categoryPicker_div',
  'options': {
    'filterColumnIndex': 1,
    'ui': {
      'labelStacking': 'vertical',
      'label': 'Company Selection:',
      'allowTyping': false,
      'allowMultiple': false
    }
  }
  });

  var categoryPicker1 = new google.visualization.ControlWrapper({
  'controlType': 'CategoryFilter',
  'containerId': 'categoryPicker_div1',
  'options': {
    'filterColumnIndex': 0,
    'ui': {
      'labelStacking': 'vertical',
      'label': 'Location Selection:',
      'allowTyping': false,
      'allowMultiple': false
    }
  }
  });

  var columnchrt = new google.visualization.ChartWrapper({
  'chartType': 'ColumnChart',
  'containerId': 'chart_div',
  'options': {
       title: "Locations  charts",
       width: 850,
       height: 500,
       legend: { position: 'top', maxLines: 2 },
       bar: { groupWidth: '70%' },
       isStacked: true,
       focusTarget: 'category',
       aggregationTarget: 'category',
       explorer: {keepInBounds: true, maxZoomIn: 10.0}
  }
  });

  var table = new google.visualization.ChartWrapper({
  'chartType': 'Table',
  'containerId': 'table_div',
  'options': {
      showRowNumber: true,
      width: '100%',
      height: '100%',
      allowHtml: true
  },
  'view': {'columns': [0,1,2,3,4,5,6]}
  });

  google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
          
          function calcTotals() {
                // get filtered data table from table chart
                var dt = table.getDataTable();
                
                // build aggregation and view columns
                var aggColumns = [];
                var viewColumns = [0];
                for (var i = 2; i < dt.getNumberOfColumns(); i++) {
                      if (i !== dt.getNumberOfColumns() - 1) {
                        if (dt.getColumnType(i) === 'number') {
                          if (dt.getColumnRole(i) !== 'annotation') {
                            addAggColumn(i);
                            if (i !== dt.getNumberOfColumns() - 2) {
                              viewColumns.push(i - 1);
                            }
                          }
                        }
                      }
                    }
                function addAggColumn(index) {
                    aggColumns.push({
                      aggregation: google.visualization.data.sum,
                      column: index,
                      label: dt.getColumnLabel(index),
                      type: dt.getColumnType(index)
                    });
                  }
                // aggregate data table
                var agg = google.visualization.data.group(
                  dt,
                  [0],
                  aggColumns
                );
                var aggTotal = google.visualization.data.group(
                  dt,
                  [{
                    column: 0,
                    label: 'Total',
                    modifier: function (val) {
                      return 'Total';
                    },
                    type: 'string'
                  }],
                  aggColumns
                );
                
                dt = dt.toDataTable();
                dt.addRow(['Total', '--', aggTotal.getValue(0, 1), aggTotal.getValue(0, 2), aggTotal.getValue(0, 3), aggTotal.getValue(0, 4), aggTotal.getValue(0, 5), null]);
                table.setDataTable(dt);
                table.draw();
                
                viewColumns.push({
                    calc: function (dt, row) {
                      var total = 0;
                      for (var c = 1; c < dt.getNumberOfColumns(); c++) {
                        if (dt.getColumnLabel(c) !== 'Total') {
                          total += dt.getValue(row, c);
                        }
                      }
                      return total.toFixed(0);
                    },
                    role: 'annotation',
                    type: 'string'
                  });
                
                // create agg data view to add annotation
                var view = new google.visualization.DataView(agg);
                view.setColumns(viewColumns);
                view = view.toDataTable();
                for (var vc = 0; vc < view.getNumberOfColumns(); vc++) {
                  var viewLabel = view.getColumnLabel(vc);
                  for (var ac = 0; ac < agg.getNumberOfColumns(); ac++) {
                    var aggLabel = agg.getColumnLabel(ac);
                    if (viewLabel === aggLabel) {
                      view.setColumnLabel(vc, viewLabel + ' (' + aggTotal.getFormattedValue(0, ac) + ')');
                    }
                  }
                }
                
                // draw chart
                columnchrt.setDataTable(view);
                columnchrt.draw();

                google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
              
                
            }


  var data = google.visualization.arrayToDataTable([
    ['Location', 'Company', 'Grade1', 'Grade2', 'Grade3', 'Bal-Grade', 'Total', { role: 'annotation' } ],
    ['NYC', 'CUSTOMERS', 0, 0, 13, 5, 19, 29],
    ['CALI', 'ORG', 270, 210, 0, 32, 51, 60],
    ['CALI', 'CUSTOMERS', 35.942, 39, 0, 50, 126, 150],
    ['WDC', 'CUSTOMERS', 0, 0, 35, 52, 88, 100],
    ['WDC', 'CUSTOMERS', 44.507, 0, 25, 18, 88, 110],
    ['NJ', 'ORG', 0, 0, 54, 22, 28, 45],
    ['TXS', 'CUSTOMERS', 0, 0, 0, 10, 11, 20]
  ]);

  dashboard.bind([categoryPicker,categoryPicker1], [table]);
  dashboard.draw(data);
}

<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="dashboard_division" style="clear:left; display:inline-block; width:100%; float:left; margin-top:5px;">

<div class="float_left panel" style="float:left; width:50%; padding:0px;">
    <div id="chart_div"></div>
</div>
<div class="float_left panel" style="width:50%; padding:0px;">
    <div class="table_bbar" style="background-color:#27ae60;" >
        <div id="categoryPicker_div" style="right:15px; position:absolute;"></div>
        <div id="categoryPicker_div1" ></div>
    </div>

    <div id="table_div"></div>

</div>
</div>

Answer 1

获取表格图表的总行数，
我们可以在聚合中使用modifier 函数。

我们按位置汇总一次，
然后总共再一次。

修饰函数允许我们为每一行返回相同的值，
从而给我们所有行的总数。

然后我们可以将总 agg 的结果添加到位置 agg 中。

// aggregate data table
var agg = google.visualization.data.group(
  dt,
  [0],
  aggColumns
);
var aggTotal = google.visualization.data.group(
  dt,
  [{
    column: 0,
    label: 'Total',
    modifier: function (val) {
      return 'Total';
    },
    type: 'string'
  }],
  aggColumns
);
var rowIndex = agg.addRow();
for (var i = 0; i < agg.getNumberOfColumns(); i++) {
  agg.setValue(rowIndex, i, aggTotal.getValue(0, i));
}

那么我们可以使用agg总数据表来设置柱形图图例中的标签。

// create agg data view to add annotation
var view = new google.visualization.DataView(agg);
view.setColumns(viewColumns);
view = view.toDataTable();
for (var vc = 0; vc < view.getNumberOfColumns(); vc++) {
  var viewLabel = view.getColumnLabel(vc);
  for (var ac = 0; ac < agg.getNumberOfColumns(); ac++) {
    var aggLabel = agg.getColumnLabel(ac);
    if (viewLabel === aggLabel) {
      view.setColumnLabel(vc, viewLabel + ' (' + aggTotal.getFormattedValue(0, ac) + ')');
    }
  }
}

另一个细微的变化，因为我们正在重新绘制 'ready' 事件中的图表，
我们必须使用一次性事件，否则我们将进入无限循环。

google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);

请参阅以下工作 sn-p...

google.charts.load('current', {
  packages: ['corechart', 'table', 'gauge', 'controls']
}).then(function () {
  drawMainDashboard();
});

function drawMainDashboard() {
  var dashboard = new google.visualization.Dashboard(
  document.getElementById('dashboard_division1'));

  var categoryPicker = new google.visualization.ControlWrapper({
  'controlType': 'CategoryFilter',
  'containerId': 'categoryPicker_div',
  'options': {
    'filterColumnIndex': 1,
    'ui': {
      'labelStacking': 'vertical',
      'label': 'Company Selection:',
      'allowTyping': false,
      'allowMultiple': false
    }
  }
  });

  var categoryPicker1 = new google.visualization.ControlWrapper({
  'controlType': 'CategoryFilter',
  'containerId': 'categoryPicker_div1',
  'options': {
    'filterColumnIndex': 0,
    'ui': {
      'labelStacking': 'vertical',
      'label': 'Location Selection:',
      'allowTyping': false,
      'allowMultiple': false
    }
  }
  });

  var columnchrt = new google.visualization.ChartWrapper({
  'chartType': 'ColumnChart',
  'containerId': 'chart_div',
  'options': {
       title: "Locations  charts",
       width: 850,
       height: 500,
       legend: { position: 'top', maxLines: 2 },
       bar: { groupWidth: '70%' },
       isStacked: true,
       explorer: {keepInBounds: true, maxZoomIn: 10.0}
  }
  });

  var table = new google.visualization.ChartWrapper({
  'chartType': 'Table',
  'containerId': 'table_div',
  'options': {
      showRowNumber: true,
      width: '100%',
      height: '100%',
      allowHtml: true
  },
  'view': {'columns': [0,1,2,3,4,5,6]}
  });

  google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);

  function calcTotals() {
    // get filtered data table from table chart
    var dt = table.getDataTable();

    // build aggregation and view columns
    var aggColumns = [];
    var viewColumns = [0];
    for (var i = 2; i < dt.getNumberOfColumns(); i++) {
      if (i !== dt.getNumberOfColumns() - 1) {
        if (dt.getColumnType(i) === 'number') {
          if (dt.getColumnRole(i) !== 'annotation') {
            addAggColumn(i);
            if (i !== dt.getNumberOfColumns() - 2) {
              viewColumns.push(i - 1);
            }
          }
        }
      }
    }
    function addAggColumn(index) {
      aggColumns.push({
        aggregation: google.visualization.data.sum,
        column: index,
        label: dt.getColumnLabel(index),
        type: dt.getColumnType(index)
      });
    }

    // aggregate data table
    var agg = google.visualization.data.group(
      dt,
      [0],
      aggColumns
    );
    var aggTotal = google.visualization.data.group(
      dt,
      [{
        column: 0,
        label: 'Total',
        modifier: function (val) {
          return 'Total';
        },
        type: 'string'
      }],
      aggColumns
    );

    dt = dt.toDataTable();
    dt.addRow(['Total', '--', aggTotal.getValue(0, 1), aggTotal.getValue(0, 2), aggTotal.getValue(0, 3), aggTotal.getValue(0, 4), aggTotal.getValue(0, 5), null]);
    table.setDataTable(dt);
    table.draw();

    viewColumns.push({
      calc: function (dt, row) {
        var total = 0;
        for (var c = 1; c < dt.getNumberOfColumns(); c++) {
          if (dt.getColumnLabel(c) !== 'Total') {
            total += dt.getValue(row, c);
          }
        }
        return total.toFixed(0);
      },
      role: 'annotation',
      type: 'string'
    });

    // create agg data view to add annotation
    var view = new google.visualization.DataView(agg);
    view.setColumns(viewColumns);
    view = view.toDataTable();
    for (var vc = 0; vc < view.getNumberOfColumns(); vc++) {
      var viewLabel = view.getColumnLabel(vc);
      for (var ac = 0; ac < agg.getNumberOfColumns(); ac++) {
        var aggLabel = agg.getColumnLabel(ac);
        if (viewLabel === aggLabel) {
          view.setColumnLabel(vc, viewLabel + ' (' + aggTotal.getFormattedValue(0, ac) + ')');
        }
      }
    }

    // draw chart
    columnchrt.setDataTable(view);
    columnchrt.draw();

    google.visualization.events.addOneTimeListener(table, 'ready', calcTotals);
  }


  var data = google.visualization.arrayToDataTable([
    ['Location', 'Company', 'Grade1', 'Grade2', 'Grade3', 'Bal-Grade', 'Total', { role: 'annotation' } ],
    ['NYC', 'CUSTOMERS', 0, 0, 13, 5, 19, 19],
    ['CALI', 'ORG', 270, 210, 0, 32, 51, 51],
    ['CALI', 'CUSTOMERS', 35.942, 39, 0, 50, 126, 126],
    ['WDC', 'CUSTOMERS', 0, 0, 35, 52, 88, 88],
    ['WDC', 'CUSTOMERS', 44.507, 0, 25, 18, 88, 88],
    ['NJ', 'ORG', 0, 0, 54, 22, 28, 28],
    ['TXS', 'CUSTOMERS', 0, 0, 0, 10, 11, 11]
  ]);

  dashboard.bind([categoryPicker,categoryPicker1], [table]);
  dashboard.draw(data);
}

<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="dashboard_division" style="clear:left; display:inline-block; width:100%; float:left; margin-top:5px;">

<div class="float_left panel" style="float:left; width:50%; padding:0px;">
    <div id="chart_div"></div>
</div>
<div class="float_left panel" style="width:50%; padding:0px;">
    <div class="table_bbar" style="background-color:#27ae60;" >
        <div id="categoryPicker_div" style="right:15px; position:absolute;"></div>
        <div id="categoryPicker_div1" ></div>
    </div>

    <div id="table_div"></div>

</div>
</div>