| /* |
| * 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 '../../util/number'; |
| import {isDimensionStacked} from '../../data/helper/dataStackHelper'; |
| import SeriesModel from '../../model/Series'; |
| import SeriesData from '../../data/SeriesData'; |
| import { MarkerStatisticType, MarkerPositionOption } from './MarkerModel'; |
| import { indexOf, curry, clone, isArray } from 'zrender/src/core/util'; |
| import Axis from '../../coord/Axis'; |
| import { CoordinateSystem } from '../../coord/CoordinateSystem'; |
| import { ScaleDataValue, ParsedValue, DimensionLoose, DimensionName } from '../../util/types'; |
| import { parseDataValue } from '../../data/helper/dataValueHelper'; |
| import SeriesDimensionDefine from '../../data/SeriesDimensionDefine'; |
| |
| interface MarkerAxisInfo { |
| valueDataDim: DimensionName |
| valueAxis: Axis |
| baseAxis: Axis |
| baseDataDim: DimensionName |
| } |
| |
| export type MarkerDimValueGetter<TMarkerItemOption> = ( |
| item: TMarkerItemOption, |
| dimName: string, |
| dataIndex: number, |
| dimIndex: number |
| ) => ParsedValue; |
| |
| function hasXOrY(item: MarkerPositionOption) { |
| return !(isNaN(parseFloat(item.x as string)) && isNaN(parseFloat(item.y as string))); |
| } |
| |
| function hasXAndY(item: MarkerPositionOption) { |
| return !isNaN(parseFloat(item.x as string)) && !isNaN(parseFloat(item.y as string)); |
| } |
| |
| function markerTypeCalculatorWithExtent( |
| markerType: MarkerStatisticType, |
| data: SeriesData, |
| otherDataDim: string, |
| targetDataDim: string, |
| otherCoordIndex: number, |
| targetCoordIndex: number |
| ): [ParsedValue[], ParsedValue] { |
| const coordArr: ParsedValue[] = []; |
| |
| const stacked = isDimensionStacked(data, targetDataDim /*, otherDataDim*/); |
| const calcDataDim = stacked |
| ? data.getCalculationInfo('stackResultDimension') |
| : targetDataDim; |
| |
| const value = numCalculate(data, calcDataDim, markerType); |
| |
| const dataIndex = data.indicesOfNearest(calcDataDim, value)[0]; |
| coordArr[otherCoordIndex] = data.get(otherDataDim, dataIndex); |
| coordArr[targetCoordIndex] = data.get(calcDataDim, dataIndex); |
| const coordArrValue = data.get(targetDataDim, dataIndex); |
| // Make it simple, do not visit all stacked value to count precision. |
| let precision = numberUtil.getPrecision(data.get(targetDataDim, dataIndex)); |
| precision = Math.min(precision, 20); |
| if (precision >= 0) { |
| coordArr[targetCoordIndex] = +(coordArr[targetCoordIndex] as number).toFixed(precision); |
| } |
| |
| return [coordArr, coordArrValue]; |
| } |
| |
| // TODO Specified percent |
| const markerTypeCalculator = { |
| min: curry(markerTypeCalculatorWithExtent, 'min'), |
| max: curry(markerTypeCalculatorWithExtent, 'max'), |
| average: curry(markerTypeCalculatorWithExtent, 'average'), |
| median: curry(markerTypeCalculatorWithExtent, 'median') |
| }; |
| |
| /** |
| * 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 |
| */ |
| export function dataTransform( |
| seriesModel: SeriesModel, |
| item: MarkerPositionOption |
| ) { |
| const data = seriesModel.getData(); |
| const 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) && !isArray(item.coord) && coordSys) { |
| const dims = coordSys.dimensions; |
| const axisInfo = getAxisInfo(item, data, coordSys, seriesModel); |
| |
| // Clone the option |
| // Transform the properties xAxis, yAxis, radiusAxis, angleAxis, geoCoord to value |
| item = clone(item); |
| |
| if (item.type |
| && markerTypeCalculator[item.type] |
| && axisInfo.baseAxis && axisInfo.valueAxis |
| ) { |
| const otherCoordIndex = indexOf(dims, axisInfo.baseAxis.dim); |
| const targetCoordIndex = indexOf(dims, axisInfo.valueAxis.dim); |
| |
| const 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. |
| const coord = [ |
| item.xAxis != null ? item.xAxis : item.radiusAxis, |
| item.yAxis != null ? item.yAxis : item.angleAxis |
| ]; |
| // Each coord support max, min, average |
| for (let i = 0; i < 2; i++) { |
| if (markerTypeCalculator[coord[i] as MarkerStatisticType]) { |
| coord[i] = numCalculate(data, data.mapDimension(dims[i]), coord[i] as MarkerStatisticType); |
| } |
| } |
| item.coord = coord; |
| } |
| } |
| return item; |
| } |
| |
| export function getAxisInfo( |
| item: MarkerPositionOption, |
| data: SeriesData, |
| coordSys: CoordinateSystem, |
| seriesModel: SeriesModel |
| ) { |
| const ret = {} as MarkerAxisInfo; |
| |
| 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: SeriesModel, dataDim: DimensionLoose): DimensionName { |
| const dimItem = seriesModel.getData().getDimensionInfo(dataDim); |
| return dimItem && dimItem.coordDim; |
| } |
| |
| /** |
| * Filter data which is out of coordinateSystem range |
| * [dataFilter description] |
| */ |
| export function dataFilter( |
| // Currently only polar and cartesian has containData. |
| coordSys: CoordinateSystem & { |
| containData?(data: ScaleDataValue[]): boolean |
| }, |
| item: MarkerPositionOption |
| ) { |
| // Alwalys return true if there is no coordSys |
| return (coordSys && coordSys.containData && item.coord && !hasXOrY(item)) |
| ? coordSys.containData(item.coord) : true; |
| } |
| |
| export function zoneFilter( |
| // Currently only polar and cartesian has containData. |
| coordSys: CoordinateSystem & { |
| containZone?(data1: ScaleDataValue[], data2: ScaleDataValue[]): boolean |
| }, |
| item1: MarkerPositionOption, |
| item2: MarkerPositionOption |
| ) { |
| // Alwalys return true if there is no coordSys |
| return (coordSys && coordSys.containZone && item1.coord && item2.coord && !hasXOrY(item1) && !hasXOrY(item2)) |
| ? coordSys.containZone(item1.coord, item2.coord) : true; |
| } |
| |
| export function createMarkerDimValueGetter( |
| inCoordSys: boolean, |
| dims: SeriesDimensionDefine[] |
| ): MarkerDimValueGetter<MarkerPositionOption> { |
| return inCoordSys |
| ? function (item, dimName, dataIndex, dimIndex) { |
| const rawVal = dimIndex < 2 |
| // x, y, radius, angle |
| ? (item.coord && item.coord[dimIndex]) |
| : item.value; |
| return parseDataValue(rawVal, dims[dimIndex]); |
| } |
| : function (item, dimName, dataIndex, dimIndex) { |
| return parseDataValue(item.value, dims[dimIndex]); |
| }; |
| } |
| |
| export function numCalculate( |
| data: SeriesData, |
| valueDataDim: string, |
| type: MarkerStatisticType |
| ) { |
| if (type === 'average') { |
| let sum = 0; |
| let count = 0; |
| data.each(valueDataDim, function (val: number, 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)[type === 'max' ? 1 : 0]; |
| } |
| } |