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node_modules/echarts/extension-src/dataTool/prepareBoxplotData.js 3 KB
aaac7fed   liuqimichale   add
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  /*
  * Licensed to the Apache Software Foundation (ASF) under one
  * or more contributor license agreements.  See the NOTICE file
  * distributed with this work for additional information
  * regarding copyright ownership.  The ASF licenses this file
  * to you under the Apache License, Version 2.0 (the
  * "License"); you may not use this file except in compliance
  * with the License.  You may obtain a copy of the License at
  *
  *   http://www.apache.org/licenses/LICENSE-2.0
  *
  * Unless required by applicable law or agreed to in writing,
  * software distributed under the License is distributed on an
  * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  * KIND, either express or implied.  See the License for the
  * specific language governing permissions and limitations
  * under the License.
  */
  
  import * as numberUtil from '../../src/util/number';
  
  /**
   * See:
   *  <https://en.wikipedia.org/wiki/Box_plot#cite_note-frigge_hoaglin_iglewicz-2>
   *  <http://stat.ethz.ch/R-manual/R-devel/library/grDevices/html/boxplot.stats.html>
   *
   * Helper method for preparing data.
   *
   * @param {Array.<number>} rawData like
   *        [
   *            [12,232,443], (raw data set for the first box)
   *            [3843,5545,1232], (raw datat set for the second box)
   *            ...
   *        ]
   * @param {Object} [opt]
   *
   * @param {(number|string)} [opt.boundIQR=1.5] Data less than min bound is outlier.
   *      default 1.5, means Q1 - 1.5 * (Q3 - Q1).
   *      If 'none'/0 passed, min bound will not be used.
   * @param {(number|string)} [opt.layout='horizontal']
   *      Box plot layout, can be 'horizontal' or 'vertical'
   * @return {Object} {
   *      boxData: Array.<Array.<number>>
   *      outliers: Array.<Array.<number>>
   *      axisData: Array.<string>
   * }
   */
  export default function (rawData, opt) {
      opt = opt || [];
      var boxData = [];
      var outliers = [];
      var axisData = [];
      var boundIQR = opt.boundIQR;
      var useExtreme = boundIQR === 'none' || boundIQR === 0;
  
      for (var i = 0; i < rawData.length; i++) {
          axisData.push(i + '');
          var ascList = numberUtil.asc(rawData[i].slice());
  
          var Q1 = numberUtil.quantile(ascList, 0.25);
          var Q2 = numberUtil.quantile(ascList, 0.5);
          var Q3 = numberUtil.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);
  
          boxData.push([low, Q1, Q2, Q3, high]);
  
          for (var j = 0; j < ascList.length; j++) {
              var dataItem = ascList[j];
              if (dataItem < low || dataItem > high) {
                  var outlier = [i, dataItem];
                  opt.layout === 'vertical' && outlier.reverse();
                  outliers.push(outlier);
              }
          }
      }
      return {
          boxData: boxData,
          outliers: outliers,
          axisData: axisData
      };
  }