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d3.js - 未捕獲的TypeError:無法讀取未定義的屬性“數據”

[英]d3.js - Uncaught TypeError: Cannot read property 'data' of undefined

我一直陷入2個我無法弄清楚的錯誤......我正在嘗試用一些后端數據構建一個Scatter Plot。 BackEnd向我發送了一個Javascript對象(tabularData),其中包含我需要的信息,並使用它來創建圖形。 我正在使用ExtJS 4.2.2和最現代版本的d3.js和nv.d3.js

第一個錯誤是一個未被捕獲的類型錯誤似乎抱怨nv.d3.js

Uncaught TypeError: Cannot read property 'data' of undefined nv.d3.js:11193
(anonymous function) nv.d3.js:11193
attrFunction d3.js:597
(anonymous function) d3.js:884
d3_selection_each d3.js:890
d3_selectionPrototype.each d3.js:883
d3_selectionPrototype.attr d3.js:580
updateInteractiveLayer nv.d3.js:11192

第二個錯誤是與d3.js有關的錯誤

Error: Invalid value for <g> attribute transform="translate(NaN,5)" d3.js:591
attrConstant d3.js:591
(anonymous function) d3.js:884
d3_selection_each d3.js:890
d3_selectionPrototype.each d3.js:883
d3_selectionPrototype.attr d3.js:580
(anonymous function) nv.d3.js:5010
(anonymous function) d3.js:884
d3_selection_each d3.js:890
d3_selectionPrototype.each d3.js:883
chart nv.d3.js:4872
d3_selectionPrototype.call d3.js:897
(anonymous function) nv.d3.js:11818
(anonymous function) d3.js:8562
d3_selection_each d3.js:890
d3_transitionPrototype.each d3.js:8560
chart nv.d3.js:11729
d3_selectionPrototype.call d3.js:897
chart.update nv.d3.js:11738
window.onresize nv.d3.js:904
window.onresiz

我很確定它與d3.select有關,但由於buildData創建了一個合法的Object,因此它失敗是沒有意義的。 我也認為這可能是因為我的很多x值和y值是相同的,但是使用nvd3.org上的實時代碼散點圖示例告訴我這不是原因。

這是我的實際參考代碼......

 buildScatterPlot: function buildScatterPlot(tabularData){
     Ext.vcops.chrome.D3js.load(function() {
        Ext.vcops.chrome.nvd3.load(function(){

            nv.addGraph(function() {
                var chart = nv.models.scatterChart()
                    .showDistX(false)    //showDist, when true, will display those little distribution lines on the axis.
                    .showDistY(false)
                    .transitionDuration(350)
                    .color(d3.scale.category20().range());

                //Configure how the tooltip looks.
                chart.tooltipContent(function(key) {
                    return '<h3>' + key + '</h3>';
                });

                //Axis settings
                var xAxisLabel = tabularData.columns[1].label;
                var yAxisLabel = tabularData.columns[2].label;
                var xFormat;
                var yFormat;
                var xUnitId = tabularData.columns[1].unit === null ? null : tabularData.columns[1].unit.unitId;
                var yUnitId = tabularData.columns[2].unit === null ? null : tabularData.columns[2].unit.unitId;
                switch(xUnitId){
                    case "percent":
                        xFormat = '.02%'
                        break;
                    case null:
                    default:
                        xFormat = 'd'
                        break;
                }
                switch(yUnitId){
                    case "percent":
                        yFormat = '.02%';
                        break;
                    case null:
                    default:
                        yFormat = 'd';
                        break;
                }
                chart.xAxis
                    .axisLabel(xAxisLabel)
                    .tickFormat(d3.format(xFormat));
                chart.yAxis
                    .axisLabel(yAxisLabel)
                    .tickFormat(d3.format(yFormat));

                var d3data = buildData(xUnitId, yUnitId);
                console.log(d3data);
                d3.select('#chart svg')
                    .datum(d3data)
                    .call(chart);
                nv.utils.windowResize(chart.update);

                return chart;
            });

            /**************************************
             * Data generator
             */
            function buildData(xUnitId, yUnitId) { //# groups,# points per group
                var data = [];
                var skipped = 0;
                for (var i = 0; i < tabularData.totalRowCount; i++) {
                    var xVal;
                    var yVal;
                    if(tabularData.rows[i].cells[2].renderedValue === "-"){
                        skipped++;
                        continue;
                    }
                    switch(xUnitId){
                        case "percent":
                            xVal = tabularData.rows[i].cells[1].value / 100.0;
                            break;
                        case null:
                            xVal = tabularData.rows[i].cells[1].value;
                            break;
                    }
                    if(tabularData.rows[i].cells[2].renderedValue === "-"){
                        skipped++;
                        continue;
                    }
                    switch(yUnitId){
                        case "percent":
                            yVal = tabularData.rows[i].cells[2].value / 100.0;
                            break;
                        case null:
                            yVal = tabularData.rows[i].cells[2].value;
                            break;
                    }
                    if(xVal === null || yVal === null){
                        continue;
                    }
                    console.log(xVal);
                    console.log(yVal);
                    data.push({
                        key: tabularData.rows[i].objectIdentifier.resourceKey.resourceName,
                        values: []
                    });
                    data[i-skipped].values.push({
                        x: xVal,
                        y: yVal,
                        size: Math.random()  //Configure the size of each scatter point
                    });
                }
                return data;
            };
        });
    });
}

對於我的問題,結果證明這與d3.v3不兼容。 我使用的是d3.v3,但是nvd3的穩定版本使用d3.v2: https//github.com/novus/nvd3/commit/7e9b8c013c4d8e8ad5775062c438c842bc112585

我通過包含nvd3 / lib中提供的d3.v2版本解決了這個問題: https//github.com/novus/nvd3/blob/master/lib/d3.v2.min.js

在這里找到答案: https//stackoverflow.com/a/20994982/469594

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