Javascript Google Charts bar/column chart getColumnRange（）来自DataView的意外值

我试图在getColumnRange（）的帮助下获取Dataview的最小值和最大值。不幸的是，我得到的价值并不是我所期望的。有人能告诉我如何得到正确的值吗？我期望的最大值是331M（条形图上的最高条），但我得到了8,5M。我试图通过console.log（）更好地理解DataView对象，但这对我没有多大帮助（第65-71行）

var data=new google.visualization.DataTable({
科尔斯：[
{id:，“标签”：“产品”，“图案”：“类型”：“字符串”}，
{id:，“标签”：“马尼拉”，“图案”：“类型”：“编号”}，
{id:，“标签”：“曼谷”，“图案”：“类型”：“编号”}，
{id:，“标签”：“纽约”，“图案”：“类型”：“编号”}，
{id:，“label”：“Sydney”，“pattern”：“type”：“number”}]，
行：[
{c:[{v:“玻璃”}，{v:-1270.7287}，{v:-4486.0961}，{v:-1019.4662}，{v:3763827.8335}]，
{c:[{v:“操纵杆”}、{v:145543.985}、{v:2108039.5802}、{v:266392.5277}、{v:6006566.18690001}]，
{c:[{v:“笔记本电脑”}、{v:1723781.2686}、{v:4435404.56789999}、{v:7060065.3164}、{v:17514581.1763}]，
{c:[{v:PS4}，{v:7800243.0557997}，{v:47591320.6768999}，{v:43832560.9528002}，{v:161580254.021496}]，
{c:[{v:XBOX One}，{v:10507117.0145001}，{v:8059953.41120002}，{v:14103816.4604002}，{v:34676509.4036004}]，
{c:[{v:“智能手机”}，{v:2373067.7893}，{v:-53954.2187}，{v:30783391.8722}，{v:37288122.5537999}]，
{c:[{v:“主席”}、{v:86583.2876}、{v:71082.0195}、{v:79813.2918}、{v:22959813.049999}]，
{c:[{v:“CPU”}、{v:12479599.4709999}、{v:22650137.9890997}、{v:17562381.7794999}、{v:25589299.8099997}]，
{c:[{v:RAM}，{v:null}，{v:-59.1}，{v:282.7517}，{v:1461239.6186}]}，
{c:[{v:“表”}，{v:-566.5377}，{v:-217.3444}，{v:-865.114}，{v:356870.88659999}]}，
{c:[{v:“水”}，{v:870883.521900001}，{v:1128581.9856}，{v:1177332.008}，{v:3922057.5024001}]
});
var formatter=new google.visualization.NumberFormat({
图案：“短”
});
对于（var i=1；i

之所以得到

“8.5M”

而不是

“331M”

是因为列类型=

'string'

按字母顺序，

“8.5M”

大于

“331M”

要更正此问题，请使用列类型

“number”

构建数据视图注释列时，
并返回一个包含值（

v:

）和格式化值（

f:

）的对象

viewColumns.push({
计算：函数（dt，行）{
对于（var e=0；e返回{//非常感谢，你帮了我很大的忙！
  var data = new google.visualization.DataTable({
cols: [
{id:"","label":"Products","pattern":"","type":"string"},
{id:"","label":"Manila","pattern":"","type":"number"},
{id:"","label":"Bangkok","pattern":"","type":"number"},
{id:"","label":"New York","pattern":"","type":"number"},
{id:"","label":"Sydney","pattern":"","type":"number"}],

rows:[
{c:[{v:"Glasses"},{v:-1270.7287},{v:-4486.0961},{v:-1019.4662},{v:3763827.8335}]},
{c:[{v:"Joysticks"},{v:145543.985},{v:2108039.5802},{v:266392.5277},{v:6006566.18690001}]},
{c:[{v:"Laptops"},{v:1723781.2686},{v:4435404.56789999},{v:7060065.3164},{v:17514581.1763}]},
{c:[{v:"PS4"},{v:78002243.0557997},{v:47591320.6768999},{v:43832560.9528002},{v:161580254.021496}]},
{c:[{v:"XBOX One"},{v:10507117.0145001},{v:8059953.41120002},{v:14103816.4604002},{v:34676509.4036004}]},
{c:[{v:"Smartphones"},{v:2373067.7893},{v:-53954.2187},{v:30783391.8722},{v:37288122.5537999}]},
{c:[{v:"Chairs"},{v:86583.2876},{v:71082.0195},{v:79813.2918},{v:22959813.0499999}]},
{c:[{v:"CPU"},{v:12479599.4709999},{v:22650137.9890997},{v:17562381.7794999},{v:25589299.8099997}]},
{c:[{v:"RAM"},{v:null},{v:-59.1},{v:282.7517},{v:1461239.6186}]},
{c:[{v:"Table"},{v:-566.5377},{v:-217.3444},{v:-865.114},{v:356870.886599999}]},
{c:[{v:"Water"},{v:870883.521900001},{v:1128581.9856},{v:1177332.008},{v:3922057.50240001}]}]
});

  var formatter = new google.visualization.NumberFormat({
    pattern: 'short'
  });

    for (var i = 1; i < data.getNumberOfColumns(); i++) {
    formatter.format(data, i);
    }

    var view = getDataView(data);

  function getDataView(dataTable) {
    var dataView;
    var viewColumns = [];

    for (var i = 0; i < dataTable.getNumberOfColumns(); i++) {
      addViewColumn(i);
    }

    function addViewColumn(index) {
        viewColumns.push(index);
        if(index == (dataTable.getNumberOfColumns() - 1)) {
            viewColumns.push({
            calc: function (dt, row) {
                for(var e = 0; e < dt.getNumberOfRows(); e++) {
                    var value = 0;
                    for(var u = 1; u < dt.getNumberOfColumns(); u++) {
                        value += dt.getValue(row, u);
                    }
                    return formatter.formatValue(value).toString();
                }
                },
            type: 'string',
            role: 'annotation',
            });
        }
    }

    dataView = new google.visualization.DataView(dataTable);
    dataView.setColumns(viewColumns);
    for(var z = 0; z < dataView.getNumberOfColumns(); z++) {
        console.log(JSON.stringify(dataView.getColumnRange(z)));
    }

    console.log(JSON.stringify(dataView.getViewColumns()));
    console.log(JSON.stringify(viewColumns));
    return dataView;
  }

  viewColumns.push({
    calc: function (dt, row) {
      for(var e = 0; e < dt.getNumberOfRows(); e++) {
        var value = 0;
        for(var u = 1; u < dt.getNumberOfColumns(); u++) {
          value += dt.getValue(row, u);
        }
        return {  // <-- return object here
          v: value,
          f: formatter.formatValue(value)
        };
      }
      },
    type: 'number',  // <-- change to number
    role: 'annotation',
  });