| /* |
| * 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 zrUtil from 'zrender/src/core/util'; |
| import * as numberUtil from '../../util/number'; |
| import { isDimensionStacked } from '../../data/helper/dataStackHelper'; |
| var indexOf = zrUtil.indexOf; |
| |
| function hasXOrY(item) { |
| return !(isNaN(parseFloat(item.x)) && isNaN(parseFloat(item.y))); |
| } |
| |
| function hasXAndY(item) { |
| return !isNaN(parseFloat(item.x)) && !isNaN(parseFloat(item.y)); |
| } // Make it simple, do not visit all stacked value to count precision. |
| // function getPrecision(data, valueAxisDim, dataIndex) { |
| // var precision = -1; |
| // var stackedDim = data.mapDimension(valueAxisDim); |
| // do { |
| // precision = Math.max( |
| // numberUtil.getPrecision(data.get(stackedDim, dataIndex)), |
| // precision |
| // ); |
| // var stackedOnSeries = data.getCalculationInfo('stackedOnSeries'); |
| // if (stackedOnSeries) { |
| // var byValue = data.get(data.getCalculationInfo('stackedByDimension'), dataIndex); |
| // data = stackedOnSeries.getData(); |
| // dataIndex = data.indexOf(data.getCalculationInfo('stackedByDimension'), byValue); |
| // stackedDim = data.getCalculationInfo('stackedDimension'); |
| // } |
| // else { |
| // data = null; |
| // } |
| // } while (data); |
| // return precision; |
| // } |
| |
| |
| function markerTypeCalculatorWithExtent(mlType, data, otherDataDim, targetDataDim, otherCoordIndex, targetCoordIndex) { |
| var coordArr = []; |
| var stacked = isDimensionStacked(data, targetDataDim |
| /*, otherDataDim*/ |
| ); |
| var calcDataDim = stacked ? data.getCalculationInfo('stackResultDimension') : targetDataDim; |
| var value = numCalculate(data, calcDataDim, mlType); |
| var dataIndex = data.indicesOfNearest(calcDataDim, value)[0]; |
| coordArr[otherCoordIndex] = data.get(otherDataDim, dataIndex); |
| coordArr[targetCoordIndex] = data.get(calcDataDim, dataIndex); |
| var coordArrValue = data.get(targetDataDim, dataIndex); // Make it simple, do not visit all stacked value to count precision. |
| |
| var precision = numberUtil.getPrecision(data.get(targetDataDim, dataIndex)); |
| precision = Math.min(precision, 20); |
| |
| if (precision >= 0) { |
| coordArr[targetCoordIndex] = +coordArr[targetCoordIndex].toFixed(precision); |
| } |
| |
| return [coordArr, coordArrValue]; |
| } |
| |
| var curry = zrUtil.curry; // TODO Specified percent |
| |
| var markerTypeCalculator = { |
| /** |
| * @method |
| * @param {module:echarts/data/List} data |
| * @param {string} baseAxisDim |
| * @param {string} valueAxisDim |
| */ |
| min: curry(markerTypeCalculatorWithExtent, 'min'), |
| |
| /** |
| * @method |
| * @param {module:echarts/data/List} data |
| * @param {string} baseAxisDim |
| * @param {string} valueAxisDim |
| */ |
| max: curry(markerTypeCalculatorWithExtent, 'max'), |
| |
| /** |
| * @method |
| * @param {module:echarts/data/List} data |
| * @param {string} baseAxisDim |
| * @param {string} valueAxisDim |
| */ |
| average: curry(markerTypeCalculatorWithExtent, 'average') |
| }; |
| /** |
| * Transform markPoint data item to format used in List by do the following |
| * 1. Calculate statistic like `max`, `min`, `average` |
| * 2. Convert `item.xAxis`, `item.yAxis` to `item.coord` array |
| * @param {module:echarts/model/Series} seriesModel |
| * @param {module:echarts/coord/*} [coordSys] |
| * @param {Object} item |
| * @return {Object} |
| */ |
| |
| export function dataTransform(seriesModel, item) { |
| var data = seriesModel.getData(); |
| var coordSys = seriesModel.coordinateSystem; // 1. If not specify the position with pixel directly |
| // 2. If `coord` is not a data array. Which uses `xAxis`, |
| // `yAxis` to specify the coord on each dimension |
| // parseFloat first because item.x and item.y can be percent string like '20%' |
| |
| if (item && !hasXAndY(item) && !zrUtil.isArray(item.coord) && coordSys) { |
| var dims = coordSys.dimensions; |
| var axisInfo = getAxisInfo(item, data, coordSys, seriesModel); // Clone the option |
| // Transform the properties xAxis, yAxis, radiusAxis, angleAxis, geoCoord to value |
| |
| item = zrUtil.clone(item); |
| |
| if (item.type && markerTypeCalculator[item.type] && axisInfo.baseAxis && axisInfo.valueAxis) { |
| var otherCoordIndex = indexOf(dims, axisInfo.baseAxis.dim); |
| var targetCoordIndex = indexOf(dims, axisInfo.valueAxis.dim); |
| var coordInfo = markerTypeCalculator[item.type](data, axisInfo.baseDataDim, axisInfo.valueDataDim, otherCoordIndex, targetCoordIndex); |
| item.coord = coordInfo[0]; // Force to use the value of calculated value. |
| // let item use the value without stack. |
| |
| item.value = coordInfo[1]; |
| } else { |
| // FIXME Only has one of xAxis and yAxis. |
| var coord = [item.xAxis != null ? item.xAxis : item.radiusAxis, item.yAxis != null ? item.yAxis : item.angleAxis]; // Each coord support max, min, average |
| |
| for (var i = 0; i < 2; i++) { |
| if (markerTypeCalculator[coord[i]]) { |
| coord[i] = numCalculate(data, data.mapDimension(dims[i]), coord[i]); |
| } |
| } |
| |
| item.coord = coord; |
| } |
| } |
| |
| return item; |
| } |
| export function getAxisInfo(item, data, coordSys, seriesModel) { |
| var ret = {}; |
| |
| if (item.valueIndex != null || item.valueDim != null) { |
| ret.valueDataDim = item.valueIndex != null ? data.getDimension(item.valueIndex) : item.valueDim; |
| ret.valueAxis = coordSys.getAxis(dataDimToCoordDim(seriesModel, ret.valueDataDim)); |
| ret.baseAxis = coordSys.getOtherAxis(ret.valueAxis); |
| ret.baseDataDim = data.mapDimension(ret.baseAxis.dim); |
| } else { |
| ret.baseAxis = seriesModel.getBaseAxis(); |
| ret.valueAxis = coordSys.getOtherAxis(ret.baseAxis); |
| ret.baseDataDim = data.mapDimension(ret.baseAxis.dim); |
| ret.valueDataDim = data.mapDimension(ret.valueAxis.dim); |
| } |
| |
| return ret; |
| } |
| |
| function dataDimToCoordDim(seriesModel, dataDim) { |
| var data = seriesModel.getData(); |
| var dimensions = data.dimensions; |
| dataDim = data.getDimension(dataDim); |
| |
| for (var i = 0; i < dimensions.length; i++) { |
| var dimItem = data.getDimensionInfo(dimensions[i]); |
| |
| if (dimItem.name === dataDim) { |
| return dimItem.coordDim; |
| } |
| } |
| } |
| /** |
| * Filter data which is out of coordinateSystem range |
| * [dataFilter description] |
| * @param {module:echarts/coord/*} [coordSys] |
| * @param {Object} item |
| * @return {boolean} |
| */ |
| |
| |
| export function dataFilter(coordSys, item) { |
| // Alwalys return true if there is no coordSys |
| return coordSys && coordSys.containData && item.coord && !hasXOrY(item) ? coordSys.containData(item.coord) : true; |
| } |
| export function dimValueGetter(item, dimName, dataIndex, dimIndex) { |
| // x, y, radius, angle |
| if (dimIndex < 2) { |
| return item.coord && item.coord[dimIndex]; |
| } |
| |
| return item.value; |
| } |
| export function numCalculate(data, valueDataDim, type) { |
| if (type === 'average') { |
| var sum = 0; |
| var count = 0; |
| data.each(valueDataDim, function (val, idx) { |
| if (!isNaN(val)) { |
| sum += val; |
| count++; |
| } |
| }); |
| return sum / count; |
| } else if (type === 'median') { |
| return data.getMedian(valueDataDim); |
| } else { |
| // max & min |
| return data.getDataExtent(valueDataDim, true)[type === 'max' ? 1 : 0]; |
| } |
| } |