188 lines
7.6 KiB
JavaScript
188 lines
7.6 KiB
JavaScript
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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/**
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* AUTO-GENERATED FILE. DO NOT MODIFY.
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*/
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import * as numberUtil from '../../util/number.js';
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import { isDimensionStacked } from '../../data/helper/dataStackHelper.js';
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import { indexOf, curry, clone, isArray } from 'zrender/lib/core/util.js';
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import { parseDataValue } from '../../data/helper/dataValueHelper.js';
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function hasXOrY(item) {
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return !(isNaN(parseFloat(item.x)) && isNaN(parseFloat(item.y)));
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}
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function hasXAndY(item) {
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return !isNaN(parseFloat(item.x)) && !isNaN(parseFloat(item.y));
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}
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function markerTypeCalculatorWithExtent(markerType, data, otherDataDim, targetDataDim, otherCoordIndex, targetCoordIndex) {
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var coordArr = [];
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var stacked = isDimensionStacked(data, targetDataDim /* , otherDataDim */);
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var calcDataDim = stacked ? data.getCalculationInfo('stackResultDimension') : targetDataDim;
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var value = numCalculate(data, calcDataDim, markerType);
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var dataIndex = data.indicesOfNearest(calcDataDim, value)[0];
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coordArr[otherCoordIndex] = data.get(otherDataDim, dataIndex);
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coordArr[targetCoordIndex] = data.get(calcDataDim, dataIndex);
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var coordArrValue = data.get(targetDataDim, dataIndex);
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// Make it simple, do not visit all stacked value to count precision.
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var precision = numberUtil.getPrecision(data.get(targetDataDim, dataIndex));
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precision = Math.min(precision, 20);
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if (precision >= 0) {
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coordArr[targetCoordIndex] = +coordArr[targetCoordIndex].toFixed(precision);
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}
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return [coordArr, coordArrValue];
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}
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// TODO Specified percent
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var markerTypeCalculator = {
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min: curry(markerTypeCalculatorWithExtent, 'min'),
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max: curry(markerTypeCalculatorWithExtent, 'max'),
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average: curry(markerTypeCalculatorWithExtent, 'average'),
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median: curry(markerTypeCalculatorWithExtent, 'median')
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};
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/**
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* Transform markPoint data item to format used in List by do the following
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* 1. Calculate statistic like `max`, `min`, `average`
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* 2. Convert `item.xAxis`, `item.yAxis` to `item.coord` array
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*/
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export function dataTransform(seriesModel, item) {
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if (!item) {
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return;
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}
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var data = seriesModel.getData();
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var coordSys = seriesModel.coordinateSystem;
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var dims = coordSys && coordSys.dimensions;
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// 1. If not specify the position with pixel directly
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// 2. If `coord` is not a data array. Which uses `xAxis`,
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// `yAxis` to specify the coord on each dimension
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// parseFloat first because item.x and item.y can be percent string like '20%'
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if (!hasXAndY(item) && !isArray(item.coord) && isArray(dims)) {
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var axisInfo = getAxisInfo(item, data, coordSys, seriesModel);
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// Clone the option
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// Transform the properties xAxis, yAxis, radiusAxis, angleAxis, geoCoord to value
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item = clone(item);
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if (item.type && markerTypeCalculator[item.type] && axisInfo.baseAxis && axisInfo.valueAxis) {
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var otherCoordIndex = indexOf(dims, axisInfo.baseAxis.dim);
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var targetCoordIndex = indexOf(dims, axisInfo.valueAxis.dim);
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var coordInfo = markerTypeCalculator[item.type](data, axisInfo.baseDataDim, axisInfo.valueDataDim, otherCoordIndex, targetCoordIndex);
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item.coord = coordInfo[0];
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// Force to use the value of calculated value.
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// let item use the value without stack.
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item.value = coordInfo[1];
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} else {
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// FIXME Only has one of xAxis and yAxis.
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item.coord = [item.xAxis != null ? item.xAxis : item.radiusAxis, item.yAxis != null ? item.yAxis : item.angleAxis];
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}
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}
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// x y is provided
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if (item.coord == null || !isArray(dims)) {
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item.coord = [];
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} else {
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// Each coord support max, min, average
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var coord = item.coord;
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for (var i = 0; i < 2; i++) {
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if (markerTypeCalculator[coord[i]]) {
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coord[i] = numCalculate(data, data.mapDimension(dims[i]), coord[i]);
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}
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}
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}
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return item;
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}
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export function getAxisInfo(item, data, coordSys, seriesModel) {
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var ret = {};
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if (item.valueIndex != null || item.valueDim != null) {
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ret.valueDataDim = item.valueIndex != null ? data.getDimension(item.valueIndex) : item.valueDim;
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ret.valueAxis = coordSys.getAxis(dataDimToCoordDim(seriesModel, ret.valueDataDim));
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ret.baseAxis = coordSys.getOtherAxis(ret.valueAxis);
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ret.baseDataDim = data.mapDimension(ret.baseAxis.dim);
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} else {
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ret.baseAxis = seriesModel.getBaseAxis();
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ret.valueAxis = coordSys.getOtherAxis(ret.baseAxis);
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ret.baseDataDim = data.mapDimension(ret.baseAxis.dim);
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ret.valueDataDim = data.mapDimension(ret.valueAxis.dim);
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}
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return ret;
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}
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function dataDimToCoordDim(seriesModel, dataDim) {
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var dimItem = seriesModel.getData().getDimensionInfo(dataDim);
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return dimItem && dimItem.coordDim;
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}
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/**
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* Filter data which is out of coordinateSystem range
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* [dataFilter description]
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*/
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export function dataFilter(
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// Currently only polar and cartesian has containData.
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coordSys, item) {
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// Always return true if there is no coordSys
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return coordSys && coordSys.containData && item.coord && !hasXOrY(item) ? coordSys.containData(item.coord) : true;
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}
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export function zoneFilter(
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// Currently only polar and cartesian has containData.
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coordSys, item1, item2) {
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// Always return true if there is no coordSys
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return coordSys && coordSys.containZone && item1.coord && item2.coord && !hasXOrY(item1) && !hasXOrY(item2) ? coordSys.containZone(item1.coord, item2.coord) : true;
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}
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export function createMarkerDimValueGetter(inCoordSys, dims) {
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return inCoordSys ? function (item, dimName, dataIndex, dimIndex) {
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var rawVal = dimIndex < 2
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// x, y, radius, angle
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? item.coord && item.coord[dimIndex] : item.value;
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return parseDataValue(rawVal, dims[dimIndex]);
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} : function (item, dimName, dataIndex, dimIndex) {
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return parseDataValue(item.value, dims[dimIndex]);
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};
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}
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export function numCalculate(data, valueDataDim, type) {
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if (type === 'average') {
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var sum_1 = 0;
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var count_1 = 0;
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data.each(valueDataDim, function (val, idx) {
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if (!isNaN(val)) {
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sum_1 += val;
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count_1++;
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}
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});
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return sum_1 / count_1;
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} else if (type === 'median') {
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return data.getMedian(valueDataDim);
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} else {
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// max & min
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return data.getDataExtent(valueDataDim)[type === 'max' ? 1 : 0];
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}
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} |