Function prepareBoxplotData

_benchmarks/sample_echarts.js:64284–64321

* See: * * * * Helper method for preparing data. * * @param rawData like * [ * [12

(rawData, opt)

     */

    function prepareBoxplotData(rawData, opt) {
      opt = opt || {};
      var boxData = [];
      var outliers = [];
      var boundIQR = opt.boundIQR;
      var useExtreme = boundIQR === 'none' || boundIQR === 0;

      for (var i = 0; i < rawData.length; i++) {
        var ascList = asc(rawData[i].slice());
        var Q1 = quantile(ascList, 0.25);
        var Q2 = quantile(ascList, 0.5);
        var Q3 = quantile(ascList, 0.75);
        var min = ascList[0];
        var max = ascList[ascList.length - 1];
        var bound = (boundIQR == null ? 1.5 : boundIQR) * (Q3 - Q1);
        var low = useExtreme ? min : Math.max(min, Q1 - bound);
        var high = useExtreme ? max : Math.min(max, Q3 + bound);
        var itemNameFormatter = opt.itemNameFormatter;
        var itemName = isFunction(itemNameFormatter) ? itemNameFormatter({
          value: i
        }) : isString(itemNameFormatter) ? itemNameFormatter.replace('{value}', i + '') : i + '';
        boxData.push([itemName, low, Q1, Q2, Q3, high]);

        for (var j = 0; j < ascList.length; j++) {
          var dataItem = ascList[j];

          if (dataItem < low || dataItem > high) {
            var outlier = [itemName, dataItem];
            outliers.push(outlier);
          }
        }
      }

      return {
        boxData: boxData,
        outliers: outliers
      };
    }

    var boxplotTransform = {
      type: 'echarts:boxplot',