| /* | |
| * 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 textContain from 'zrender/src/contain/text'; | |
| import {makeInner} from '../util/model'; | |
| import { | |
| makeLabelFormatter, | |
| getOptionCategoryInterval, | |
| shouldShowAllLabels | |
| } from './axisHelper'; | |
| import Axis from './Axis'; | |
| import Model from '../model/Model'; | |
| import { AxisBaseOption } from './axisCommonTypes'; | |
| import OrdinalScale from '../scale/Ordinal'; | |
| import { AxisBaseModel } from './AxisBaseModel'; | |
| import type Axis2D from './cartesian/Axis2D'; | |
| type CacheKey = string | number; | |
| type InnerTickLabelCache<T> = { | |
| key: CacheKey | |
| value: T | |
| }[]; | |
| interface InnerLabelCachedVal { | |
| labels: MakeLabelsResultObj[] | |
| labelCategoryInterval?: number | |
| } | |
| interface InnerTickCachedVal { | |
| ticks: number[] | |
| tickCategoryInterval?: number | |
| } | |
| type InnerStore = { | |
| labels: InnerTickLabelCache<InnerLabelCachedVal> | |
| ticks: InnerTickLabelCache<InnerTickCachedVal> | |
| autoInterval: number | |
| lastAutoInterval: number | |
| lastTickCount: number | |
| axisExtent0: number | |
| axisExtent1: number | |
| }; | |
| const inner = makeInner<InnerStore, any>(); | |
| export function createAxisLabels(axis: Axis): { | |
| labels: { | |
| level?: number, | |
| formattedLabel: string, | |
| rawLabel: string, | |
| tickValue: number | |
| }[], | |
| labelCategoryInterval?: number | |
| } { | |
| // Only ordinal scale support tick interval | |
| return axis.type === 'category' | |
| ? makeCategoryLabels(axis) | |
| : makeRealNumberLabels(axis); | |
| } | |
| /** | |
| * @param {module:echats/coord/Axis} axis | |
| * @param {module:echarts/model/Model} tickModel For example, can be axisTick, splitLine, splitArea. | |
| * @return {Object} { | |
| * ticks: Array.<number> | |
| * tickCategoryInterval: number | |
| * } | |
| */ | |
| export function createAxisTicks(axis: Axis, tickModel: AxisBaseModel): { | |
| ticks: number[], | |
| tickCategoryInterval?: number | |
| } { | |
| // Only ordinal scale support tick interval | |
| return axis.type === 'category' | |
| ? makeCategoryTicks(axis, tickModel) | |
| : {ticks: zrUtil.map(axis.scale.getTicks(), tick => tick.value) }; | |
| } | |
| function makeCategoryLabels(axis: Axis) { | |
| const labelModel = axis.getLabelModel(); | |
| const result = makeCategoryLabelsActually(axis, labelModel); | |
| return (!labelModel.get('show') || axis.scale.isBlank()) | |
| ? {labels: [], labelCategoryInterval: result.labelCategoryInterval} | |
| : result; | |
| } | |
| function makeCategoryLabelsActually(axis: Axis, labelModel: Model<AxisBaseOption['axisLabel']>) { | |
| const labelsCache = getListCache(axis, 'labels'); | |
| const optionLabelInterval = getOptionCategoryInterval(labelModel); | |
| const result = listCacheGet(labelsCache, optionLabelInterval as CacheKey); | |
| if (result) { | |
| return result; | |
| } | |
| let labels; | |
| let numericLabelInterval; | |
| if (zrUtil.isFunction(optionLabelInterval)) { | |
| labels = makeLabelsByCustomizedCategoryInterval(axis, optionLabelInterval); | |
| } | |
| else { | |
| numericLabelInterval = optionLabelInterval === 'auto' | |
| ? makeAutoCategoryInterval(axis) : optionLabelInterval; | |
| labels = makeLabelsByNumericCategoryInterval(axis, numericLabelInterval); | |
| } | |
| // Cache to avoid calling interval function repeatedly. | |
| return listCacheSet(labelsCache, optionLabelInterval as CacheKey, { | |
| labels: labels, labelCategoryInterval: numericLabelInterval | |
| }); | |
| } | |
| function makeCategoryTicks(axis: Axis, tickModel: AxisBaseModel) { | |
| const ticksCache = getListCache(axis, 'ticks'); | |
| const optionTickInterval = getOptionCategoryInterval(tickModel); | |
| const result = listCacheGet(ticksCache, optionTickInterval as CacheKey); | |
| if (result) { | |
| return result; | |
| } | |
| let ticks: number[]; | |
| let tickCategoryInterval; | |
| // Optimize for the case that large category data and no label displayed, | |
| // we should not return all ticks. | |
| if (!tickModel.get('show') || axis.scale.isBlank()) { | |
| ticks = []; | |
| } | |
| if (zrUtil.isFunction(optionTickInterval)) { | |
| ticks = makeLabelsByCustomizedCategoryInterval(axis, optionTickInterval, true); | |
| } | |
| // Always use label interval by default despite label show. Consider this | |
| // scenario, Use multiple grid with the xAxis sync, and only one xAxis shows | |
| // labels. `splitLine` and `axisTick` should be consistent in this case. | |
| else if (optionTickInterval === 'auto') { | |
| const labelsResult = makeCategoryLabelsActually(axis, axis.getLabelModel()); | |
| tickCategoryInterval = labelsResult.labelCategoryInterval; | |
| ticks = zrUtil.map(labelsResult.labels, function (labelItem) { | |
| return labelItem.tickValue; | |
| }); | |
| } | |
| else { | |
| tickCategoryInterval = optionTickInterval; | |
| ticks = makeLabelsByNumericCategoryInterval(axis, tickCategoryInterval, true); | |
| } | |
| // Cache to avoid calling interval function repeatedly. | |
| return listCacheSet(ticksCache, optionTickInterval as CacheKey, { | |
| ticks: ticks, tickCategoryInterval: tickCategoryInterval | |
| }); | |
| } | |
| function makeRealNumberLabels(axis: Axis) { | |
| const ticks = axis.scale.getTicks(); | |
| const labelFormatter = makeLabelFormatter(axis); | |
| return { | |
| labels: zrUtil.map(ticks, function (tick, idx) { | |
| return { | |
| level: tick.level, | |
| formattedLabel: labelFormatter(tick, idx), | |
| rawLabel: axis.scale.getLabel(tick), | |
| tickValue: tick.value | |
| }; | |
| }) | |
| }; | |
| } | |
| // Large category data calculation is performance sensitive, and ticks and label | |
| // probably will be fetched multiple times. So we cache the result. | |
| // axis is created each time during a ec process, so we do not need to clear cache. | |
| function getListCache(axis: Axis, prop: 'ticks'): InnerStore['ticks']; | |
| function getListCache(axis: Axis, prop: 'labels'): InnerStore['labels']; | |
| function getListCache(axis: Axis, prop: 'ticks' | 'labels') { | |
| // Because key can be a function, and cache size always is small, we use array cache. | |
| return inner(axis)[prop] || (inner(axis)[prop] = []); | |
| } | |
| function listCacheGet<T>(cache: InnerTickLabelCache<T>, key: CacheKey): T { | |
| for (let i = 0; i < cache.length; i++) { | |
| if (cache[i].key === key) { | |
| return cache[i].value; | |
| } | |
| } | |
| } | |
| function listCacheSet<T>(cache: InnerTickLabelCache<T>, key: CacheKey, value: T): T { | |
| cache.push({key: key, value: value}); | |
| return value; | |
| } | |
| function makeAutoCategoryInterval(axis: Axis) { | |
| const result = inner(axis).autoInterval; | |
| return result != null | |
| ? result | |
| : (inner(axis).autoInterval = axis.calculateCategoryInterval()); | |
| } | |
| /** | |
| * Calculate interval for category axis ticks and labels. | |
| * To get precise result, at least one of `getRotate` and `isHorizontal` | |
| * should be implemented in axis. | |
| */ | |
| export function calculateCategoryInterval(axis: Axis) { | |
| const params = fetchAutoCategoryIntervalCalculationParams(axis); | |
| const labelFormatter = makeLabelFormatter(axis); | |
| const rotation = (params.axisRotate - params.labelRotate) / 180 * Math.PI; | |
| const ordinalScale = axis.scale as OrdinalScale; | |
| const ordinalExtent = ordinalScale.getExtent(); | |
| // Providing this method is for optimization: | |
| // avoid generating a long array by `getTicks` | |
| // in large category data case. | |
| const tickCount = ordinalScale.count(); | |
| if (ordinalExtent[1] - ordinalExtent[0] < 1) { | |
| return 0; | |
| } | |
| let step = 1; | |
| // Simple optimization. Empirical value: tick count should less than 40. | |
| if (tickCount > 40) { | |
| step = Math.max(1, Math.floor(tickCount / 40)); | |
| } | |
| let tickValue = ordinalExtent[0]; | |
| const unitSpan = axis.dataToCoord(tickValue + 1) - axis.dataToCoord(tickValue); | |
| const unitW = Math.abs(unitSpan * Math.cos(rotation)); | |
| const unitH = Math.abs(unitSpan * Math.sin(rotation)); | |
| let maxW = 0; | |
| let maxH = 0; | |
| // Caution: Performance sensitive for large category data. | |
| // Consider dataZoom, we should make appropriate step to avoid O(n) loop. | |
| for (; tickValue <= ordinalExtent[1]; tickValue += step) { | |
| let width = 0; | |
| let height = 0; | |
| // Not precise, do not consider align and vertical align | |
| // and each distance from axis line yet. | |
| const rect = textContain.getBoundingRect( | |
| labelFormatter({ value: tickValue }), params.font, 'center', 'top' | |
| ); | |
| // Magic number | |
| width = rect.width * 1.3; | |
| height = rect.height * 1.3; | |
| // Min size, void long loop. | |
| maxW = Math.max(maxW, width, 7); | |
| maxH = Math.max(maxH, height, 7); | |
| } | |
| let dw = maxW / unitW; | |
| let dh = maxH / unitH; | |
| // 0/0 is NaN, 1/0 is Infinity. | |
| isNaN(dw) && (dw = Infinity); | |
| isNaN(dh) && (dh = Infinity); | |
| let interval = Math.max(0, Math.floor(Math.min(dw, dh))); | |
| const cache = inner(axis.model); | |
| const axisExtent = axis.getExtent(); | |
| const lastAutoInterval = cache.lastAutoInterval; | |
| const lastTickCount = cache.lastTickCount; | |
| // Use cache to keep interval stable while moving zoom window, | |
| // otherwise the calculated interval might jitter when the zoom | |
| // window size is close to the interval-changing size. | |
| // For example, if all of the axis labels are `a, b, c, d, e, f, g`. | |
| // The jitter will cause that sometimes the displayed labels are | |
| // `a, d, g` (interval: 2) sometimes `a, c, e`(interval: 1). | |
| if (lastAutoInterval != null | |
| && lastTickCount != null | |
| && Math.abs(lastAutoInterval - interval) <= 1 | |
| && Math.abs(lastTickCount - tickCount) <= 1 | |
| // Always choose the bigger one, otherwise the critical | |
| // point is not the same when zooming in or zooming out. | |
| && lastAutoInterval > interval | |
| // If the axis change is caused by chart resize, the cache should not | |
| // be used. Otherwise some hidden labels might not be shown again. | |
| && cache.axisExtent0 === axisExtent[0] | |
| && cache.axisExtent1 === axisExtent[1] | |
| ) { | |
| interval = lastAutoInterval; | |
| } | |
| // Only update cache if cache not used, otherwise the | |
| // changing of interval is too insensitive. | |
| else { | |
| cache.lastTickCount = tickCount; | |
| cache.lastAutoInterval = interval; | |
| cache.axisExtent0 = axisExtent[0]; | |
| cache.axisExtent1 = axisExtent[1]; | |
| } | |
| return interval; | |
| } | |
| function fetchAutoCategoryIntervalCalculationParams(axis: Axis) { | |
| const labelModel = axis.getLabelModel(); | |
| return { | |
| axisRotate: axis.getRotate | |
| ? axis.getRotate() | |
| : ((axis as Axis2D).isHorizontal && !(axis as Axis2D).isHorizontal()) | |
| ? 90 | |
| : 0, | |
| labelRotate: labelModel.get('rotate') || 0, | |
| font: labelModel.getFont() | |
| }; | |
| } | |
| interface MakeLabelsResultObj { | |
| formattedLabel: string | |
| rawLabel: string | |
| tickValue: number | |
| } | |
| function makeLabelsByNumericCategoryInterval(axis: Axis, categoryInterval: number): MakeLabelsResultObj[]; | |
| /* eslint-disable-next-line */ | |
| function makeLabelsByNumericCategoryInterval(axis: Axis, categoryInterval: number, onlyTick: false): MakeLabelsResultObj[]; | |
| function makeLabelsByNumericCategoryInterval(axis: Axis, categoryInterval: number, onlyTick: true): number[]; | |
| function makeLabelsByNumericCategoryInterval(axis: Axis, categoryInterval: number, onlyTick?: boolean) { | |
| const labelFormatter = makeLabelFormatter(axis); | |
| const ordinalScale = axis.scale as OrdinalScale; | |
| const ordinalExtent = ordinalScale.getExtent(); | |
| const labelModel = axis.getLabelModel(); | |
| const result: (MakeLabelsResultObj | number)[] = []; | |
| // TODO: axisType: ordinalTime, pick the tick from each month/day/year/... | |
| const step = Math.max((categoryInterval || 0) + 1, 1); | |
| let startTick = ordinalExtent[0]; | |
| const tickCount = ordinalScale.count(); | |
| // Calculate start tick based on zero if possible to keep label consistent | |
| // while zooming and moving while interval > 0. Otherwise the selection | |
| // of displayable ticks and symbols probably keep changing. | |
| // 3 is empirical value. | |
| if (startTick !== 0 && step > 1 && tickCount / step > 2) { | |
| startTick = Math.round(Math.ceil(startTick / step) * step); | |
| } | |
| // (1) Only add min max label here but leave overlap checking | |
| // to render stage, which also ensure the returned list | |
| // suitable for splitLine and splitArea rendering. | |
| // (2) Scales except category always contain min max label so | |
| // do not need to perform this process. | |
| const showAllLabel = shouldShowAllLabels(axis); | |
| const includeMinLabel = labelModel.get('showMinLabel') || showAllLabel; | |
| const includeMaxLabel = labelModel.get('showMaxLabel') || showAllLabel; | |
| if (includeMinLabel && startTick !== ordinalExtent[0]) { | |
| addItem(ordinalExtent[0]); | |
| } | |
| // Optimize: avoid generating large array by `ordinalScale.getTicks()`. | |
| let tickValue = startTick; | |
| for (; tickValue <= ordinalExtent[1]; tickValue += step) { | |
| addItem(tickValue); | |
| } | |
| if (includeMaxLabel && tickValue - step !== ordinalExtent[1]) { | |
| addItem(ordinalExtent[1]); | |
| } | |
| function addItem(tickValue: number) { | |
| const tickObj = { value: tickValue }; | |
| result.push(onlyTick | |
| ? tickValue | |
| : { | |
| formattedLabel: labelFormatter(tickObj), | |
| rawLabel: ordinalScale.getLabel(tickObj), | |
| tickValue: tickValue | |
| } | |
| ); | |
| } | |
| return result; | |
| } | |
| type CategoryIntervalCb = (tickVal: number, rawLabel: string) => boolean; | |
| // When interval is function, the result `false` means ignore the tick. | |
| // It is time consuming for large category data. | |
| /* eslint-disable-next-line */ | |
| function makeLabelsByCustomizedCategoryInterval(axis: Axis, categoryInterval: CategoryIntervalCb): MakeLabelsResultObj[]; | |
| /* eslint-disable-next-line */ | |
| function makeLabelsByCustomizedCategoryInterval(axis: Axis, categoryInterval: CategoryIntervalCb, onlyTick: false): MakeLabelsResultObj[]; | |
| /* eslint-disable-next-line */ | |
| function makeLabelsByCustomizedCategoryInterval(axis: Axis, categoryInterval: CategoryIntervalCb, onlyTick: true): number[]; | |
| function makeLabelsByCustomizedCategoryInterval(axis: Axis, categoryInterval: CategoryIntervalCb, onlyTick?: boolean) { | |
| const ordinalScale = axis.scale; | |
| const labelFormatter = makeLabelFormatter(axis); | |
| const result: (MakeLabelsResultObj | number)[] = []; | |
| zrUtil.each(ordinalScale.getTicks(), function (tick) { | |
| const rawLabel = ordinalScale.getLabel(tick); | |
| const tickValue = tick.value; | |
| if (categoryInterval(tick.value, rawLabel)) { | |
| result.push( | |
| onlyTick | |
| ? tickValue | |
| : { | |
| formattedLabel: labelFormatter(tick), | |
| rawLabel: rawLabel, | |
| tickValue: tickValue | |
| } | |
| ); | |
| } | |
| }); | |
| return result; | |
| } |