src/component/dataZoom/AxisProxy.ts - echarts - Git at Google

 /*
 * 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 sliderMove from '../helper/sliderMove';
 import GlobalModel from '../../model/Global';
 import SeriesModel from '../../model/Series';
 import ExtensionAPI from '../../core/ExtensionAPI';
 import { Dictionary } from '../../util/types';
 // TODO Polar?
 import DataZoomModel from './DataZoomModel';
 import { AxisBaseModel } from '../../coord/AxisBaseModel';
 import { unionAxisExtentFromData } from '../../coord/axisHelper';
 import { ensureScaleRawExtentInfo } from '../../coord/scaleRawExtentInfo';
 import { getAxisMainType, isCoordSupported, DataZoomAxisDimension } from './helper';
 import { SINGLE_REFERRING } from '../../util/model';

 const each = zrUtil.each;
 const asc = numberUtil.asc;

 interface MinMaxSpan {
     minSpan: number
     maxSpan: number
     minValueSpan: number
     maxValueSpan: number
 }

 type SupportedAxis = 'xAxis' | 'yAxis' | 'angleAxis' | 'radiusAxis' | 'singleAxis';

 /**
  * Operate single axis.
  * One axis can only operated by one axis operator.
  * Different dataZoomModels may be defined to operate the same axis.
  * (i.e. 'inside' data zoom and 'slider' data zoom components)
  * So dataZoomModels share one axisProxy in that case.
  */
 class AxisProxy {

     ecModel: GlobalModel;

     private _dimName: DataZoomAxisDimension;
     private _axisIndex: number;

     private _valueWindow: [number, number];
     private _percentWindow: [number, number];

     private _dataExtent: [number, number];

     private _minMaxSpan: MinMaxSpan;

     private _dataZoomModel: DataZoomModel;

     constructor(
         dimName: DataZoomAxisDimension,
         axisIndex: number,
         dataZoomModel: DataZoomModel,
         ecModel: GlobalModel
     ) {
         this._dimName = dimName;

         this._axisIndex = axisIndex;

         this.ecModel = ecModel;

         this._dataZoomModel = dataZoomModel;

         // /**
         //  * @readOnly
         //  * @private
         //  */
         // this.hasSeriesStacked;
     }

     /**
      * Whether the axisProxy is hosted by dataZoomModel.
      */
     hostedBy(dataZoomModel: DataZoomModel): boolean {
         return this._dataZoomModel === dataZoomModel;
     }

     /**
      * @return Value can only be NaN or finite value.
      */
     getDataValueWindow() {
         return this._valueWindow.slice() as [number, number];
     }

     /**
      * @return {Array.<number>}
      */
     getDataPercentWindow() {
         return this._percentWindow.slice() as [number, number];
     }

     getTargetSeriesModels() {
         const seriesModels: SeriesModel[] = [];

         this.ecModel.eachSeries(function (seriesModel) {
             if (isCoordSupported(seriesModel)) {
                 const axisMainType = getAxisMainType(this._dimName);
                 const axisModel = seriesModel.getReferringComponents(axisMainType, SINGLE_REFERRING).models[0];
                 if (axisModel && this._axisIndex === axisModel.componentIndex) {
                     seriesModels.push(seriesModel);
                 }
             }
         }, this);

         return seriesModels;
     }

     getAxisModel(): AxisBaseModel {
         return this.ecModel.getComponent(this._dimName + 'Axis', this._axisIndex) as AxisBaseModel;
     }

     getMinMaxSpan() {
         return zrUtil.clone(this._minMaxSpan);
     }

     /**
      * Only calculate by given range and this._dataExtent, do not change anything.
      */
     calculateDataWindow(opt?: {
         start?: number
         end?: number
         startValue?: number
         endValue?: number
     }) {
         const dataExtent = this._dataExtent;
         const axisModel = this.getAxisModel();
         const scale = axisModel.axis.scale;
         const rangePropMode = this._dataZoomModel.getRangePropMode();
         const percentExtent = [0, 100];
         const percentWindow = [] as unknown as [number, number];
         const valueWindow = [] as unknown as [number, number];
         let hasPropModeValue;

         each(['start', 'end'] as const, function (prop, idx) {
             let boundPercent = opt[prop];
             let boundValue = opt[prop + 'Value' as 'startValue' | 'endValue'];

             // Notice: dataZoom is based either on `percentProp` ('start', 'end') or
             // on `valueProp` ('startValue', 'endValue'). (They are based on the data extent
             // but not min/max of axis, which will be calculated by data window then).
             // The former one is suitable for cases that a dataZoom component controls multiple
             // axes with different unit or extent, and the latter one is suitable for accurate
             // zoom by pixel (e.g., in dataZoomSelect).
             // we use `getRangePropMode()` to mark which prop is used. `rangePropMode` is updated
             // only when setOption or dispatchAction, otherwise it remains its original value.
             // (Why not only record `percentProp` and always map to `valueProp`? Because
             // the map `valueProp` -> `percentProp` -> `valueProp` probably not the original
             // `valueProp`. consider two axes constrolled by one dataZoom. They have different
             // data extent. All of values that are overflow the `dataExtent` will be calculated
             // to percent '100%').

             if (rangePropMode[idx] === 'percent') {
                 boundPercent == null && (boundPercent = percentExtent[idx]);
                 // Use scale.parse to math round for category or time axis.
                 boundValue = scale.parse(numberUtil.linearMap(
                     boundPercent, percentExtent, dataExtent
                 ));
             }
             else {
                 hasPropModeValue = true;
                 boundValue = boundValue == null ? dataExtent[idx] : scale.parse(boundValue);
                 // Calculating `percent` from `value` may be not accurate, because
                 // This calculation can not be inversed, because all of values that
                 // are overflow the `dataExtent` will be calculated to percent '100%'
                 boundPercent = numberUtil.linearMap(
                     boundValue, dataExtent, percentExtent
                 );
             }

             // valueWindow[idx] = round(boundValue);
             // percentWindow[idx] = round(boundPercent);
             valueWindow[idx] = boundValue;
             percentWindow[idx] = boundPercent;
         });

         asc(valueWindow);
         asc(percentWindow);

         // The windows from user calling of `dispatchAction` might be out of the extent,
         // or do not obey the `min/maxSpan`, `min/maxValueSpan`. But we dont restrict window
         // by `zoomLock` here, because we see `zoomLock` just as a interaction constraint,
         // where API is able to initialize/modify the window size even though `zoomLock`
         // specified.
         const spans = this._minMaxSpan;
         hasPropModeValue
             ? restrictSet(valueWindow, percentWindow, dataExtent, percentExtent, false)
             : restrictSet(percentWindow, valueWindow, percentExtent, dataExtent, true);

         function restrictSet(
             fromWindow: number[],
             toWindow: number[],
             fromExtent: number[],
             toExtent: number[],
             toValue: boolean
         ) {
             const suffix = toValue ? 'Span' : 'ValueSpan';
             sliderMove(
                 0, fromWindow, fromExtent, 'all',
                 spans['min' + suffix as 'minSpan' | 'minValueSpan'],
                 spans['max' + suffix as 'maxSpan' | 'maxValueSpan']
             );
             for (let i = 0; i < 2; i++) {
                 toWindow[i] = numberUtil.linearMap(fromWindow[i], fromExtent, toExtent, true);
                 toValue && (toWindow[i] = scale.parse(toWindow[i]));
             }
         }

         return {
             valueWindow: valueWindow,
             percentWindow: percentWindow
         };
     }

     /**
      * Notice: reset should not be called before series.restoreData() called,
      * so it is recommanded to be called in "process stage" but not "model init
      * stage".
      */
     reset(dataZoomModel: DataZoomModel) {
         if (dataZoomModel !== this._dataZoomModel) {
             return;
         }

         const targetSeries = this.getTargetSeriesModels();
         // Culculate data window and data extent, and record them.
         this._dataExtent = calculateDataExtent(this, this._dimName, targetSeries);

         // this.hasSeriesStacked = false;
         // each(targetSeries, function (series) {
             // let data = series.getData();
             // let dataDim = data.mapDimension(this._dimName);
             // let stackedDimension = data.getCalculationInfo('stackedDimension');
             // if (stackedDimension && stackedDimension === dataDim) {
                 // this.hasSeriesStacked = true;
             // }
         // }, this);

         // `calculateDataWindow` uses min/maxSpan.
         this._updateMinMaxSpan();

         const dataWindow = this.calculateDataWindow(dataZoomModel.settledOption);

         this._valueWindow = dataWindow.valueWindow;
         this._percentWindow = dataWindow.percentWindow;

         // Update axis setting then.
         this._setAxisModel();
     }

     filterData(dataZoomModel: DataZoomModel, api: ExtensionAPI) {
         if (dataZoomModel !== this._dataZoomModel) {
             return;
         }

         const axisDim = this._dimName;
         const seriesModels = this.getTargetSeriesModels();
         const filterMode = dataZoomModel.get('filterMode');
         const valueWindow = this._valueWindow;

         if (filterMode === 'none') {
             return;
         }

         // FIXME
         // Toolbox may has dataZoom injected. And if there are stacked bar chart
         // with NaN data, NaN will be filtered and stack will be wrong.
         // So we need to force the mode to be set empty.
         // In fect, it is not a big deal that do not support filterMode-'filter'
         // when using toolbox#dataZoom, utill tooltip#dataZoom support "single axis
         // selection" some day, which might need "adapt to data extent on the
         // otherAxis", which is disabled by filterMode-'empty'.
         // But currently, stack has been fixed to based on value but not index,
         // so this is not an issue any more.
         // let otherAxisModel = this.getOtherAxisModel();
         // if (dataZoomModel.get('$fromToolbox')
         //     && otherAxisModel
         //     && otherAxisModel.hasSeriesStacked
         // ) {
         //     filterMode = 'empty';
         // }

         // TODO
         // filterMode 'weakFilter' and 'empty' is not optimized for huge data yet.

         each(seriesModels, function (seriesModel) {
             let seriesData = seriesModel.getData();
             const dataDims = seriesData.mapDimensionsAll(axisDim);

             if (!dataDims.length) {
                 return;
             }

             if (filterMode === 'weakFilter') {
                 seriesData.filterSelf(function (dataIndex) {
                     let leftOut;
                     let rightOut;
                     let hasValue;
                     for (let i = 0; i < dataDims.length; i++) {
                         const value = seriesData.get(dataDims[i], dataIndex) as number;
                         const thisHasValue = !isNaN(value);
                         const thisLeftOut = value < valueWindow[0];
                         const thisRightOut = value > valueWindow[1];
                         if (thisHasValue && !thisLeftOut && !thisRightOut) {
                             return true;
                         }
                         thisHasValue && (hasValue = true);
                         thisLeftOut && (leftOut = true);
                         thisRightOut && (rightOut = true);
                     }
                     // If both left out and right out, do not filter.
                     return hasValue && leftOut && rightOut;
                 });
             }
             else {
                 each(dataDims, function (dim) {
                     if (filterMode === 'empty') {
                         seriesModel.setData(
                             seriesData = seriesData.map(dim, function (value: number) {
                                 return !isInWindow(value) ? NaN : value;
                             })
                         );
                     }
                     else {
                         const range: Dictionary<[number, number]> = {};
                         range[dim] = valueWindow;

                         // console.time('select');
                         seriesData.selectRange(range);
                         // console.timeEnd('select');
                     }
                 });
             }

             each(dataDims, function (dim) {
                 seriesData.setApproximateExtent(valueWindow, dim);
             });
         });

         function isInWindow(value: number) {
             return value >= valueWindow[0] && value <= valueWindow[1];
         }
     }

     private _updateMinMaxSpan() {
         const minMaxSpan = this._minMaxSpan = {} as MinMaxSpan;
         const dataZoomModel = this._dataZoomModel;
         const dataExtent = this._dataExtent;

         each(['min', 'max'], function (minMax) {
             let percentSpan = dataZoomModel.get(minMax + 'Span' as 'minSpan' | 'maxSpan');
             let valueSpan = dataZoomModel.get(minMax + 'ValueSpan' as 'minValueSpan' | 'maxValueSpan');
             valueSpan != null && (valueSpan = this.getAxisModel().axis.scale.parse(valueSpan));

             // minValueSpan and maxValueSpan has higher priority than minSpan and maxSpan
             if (valueSpan != null) {
                 percentSpan = numberUtil.linearMap(
                     dataExtent[0] + valueSpan, dataExtent, [0, 100], true
                 );
             }
             else if (percentSpan != null) {
                 valueSpan = numberUtil.linearMap(
                     percentSpan, [0, 100], dataExtent, true
                 ) - dataExtent[0];
             }

             minMaxSpan[minMax + 'Span' as 'minSpan' | 'maxSpan'] = percentSpan;
             minMaxSpan[minMax + 'ValueSpan' as 'minValueSpan' | 'maxValueSpan'] = valueSpan;
         }, this);
     }

     private _setAxisModel() {

         const axisModel = this.getAxisModel();

         const percentWindow = this._percentWindow;
         const valueWindow = this._valueWindow;

         if (!percentWindow) {
             return;
         }

         // [0, 500]: arbitrary value, guess axis extent.
         let precision = numberUtil.getPixelPrecision(valueWindow, [0, 500]);
         precision = Math.min(precision, 20);

         // For value axis, if min/max/scale are not set, we just use the extent obtained
         // by series data, which may be a little different from the extent calculated by
         // `axisHelper.getScaleExtent`. But the different just affects the experience a
         // little when zooming. So it will not be fixed until some users require it strongly.
         const rawExtentInfo = axisModel.axis.scale.rawExtentInfo;
         if (percentWindow[0] !== 0) {
             rawExtentInfo.setDeterminedMinMax('min', +valueWindow[0].toFixed(precision));
         }
         if (percentWindow[1] !== 100) {
             rawExtentInfo.setDeterminedMinMax('max', +valueWindow[1].toFixed(precision));
         }
         rawExtentInfo.freeze();
     }
 }

 function calculateDataExtent(axisProxy: AxisProxy, axisDim: string, seriesModels: SeriesModel[]) {
     const dataExtent = [Infinity, -Infinity];

     each(seriesModels, function (seriesModel) {
         unionAxisExtentFromData(dataExtent, seriesModel.getData(), axisDim);
     });

     // It is important to get "consistent" extent when more then one axes is
     // controlled by a `dataZoom`, otherwise those axes will not be synchronized
     // when zooming. But it is difficult to know what is "consistent", considering
     // axes have different type or even different meanings (For example, two
     // time axes are used to compare data of the same date in different years).
     // So basically dataZoom just obtains extent by series.data (in category axis
     // extent can be obtained from axis.data).
     // Nevertheless, user can set min/max/scale on axes to make extent of axes
     // consistent.
     const axisModel = axisProxy.getAxisModel();
     const rawExtentResult = ensureScaleRawExtentInfo(axisModel.axis.scale, axisModel, dataExtent).calculate();

     return [rawExtentResult.min, rawExtentResult.max] as [number, number];
 }

 export default AxisProxy;
	/*
	* 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 sliderMove from '../helper/sliderMove';
	import GlobalModel from '../../model/Global';
	import SeriesModel from '../../model/Series';
	import ExtensionAPI from '../../core/ExtensionAPI';
	import { Dictionary } from '../../util/types';
	// TODO Polar?
	import DataZoomModel from './DataZoomModel';
	import { AxisBaseModel } from '../../coord/AxisBaseModel';
	import { unionAxisExtentFromData } from '../../coord/axisHelper';
	import { ensureScaleRawExtentInfo } from '../../coord/scaleRawExtentInfo';
	import { getAxisMainType, isCoordSupported, DataZoomAxisDimension } from './helper';
	import { SINGLE_REFERRING } from '../../util/model';

	const each = zrUtil.each;
	const asc = numberUtil.asc;

	interface MinMaxSpan {
	minSpan: number
	maxSpan: number
	minValueSpan: number
	maxValueSpan: number
	}

	type SupportedAxis = 'xAxis' \| 'yAxis' \| 'angleAxis' \| 'radiusAxis' \| 'singleAxis';

	/**
	* Operate single axis.
	* One axis can only operated by one axis operator.
	* Different dataZoomModels may be defined to operate the same axis.
	* (i.e. 'inside' data zoom and 'slider' data zoom components)
	* So dataZoomModels share one axisProxy in that case.
	*/
	class AxisProxy {

	ecModel: GlobalModel;

	private _dimName: DataZoomAxisDimension;
	private _axisIndex: number;

	private _valueWindow: [number, number];
	private _percentWindow: [number, number];

	private _dataExtent: [number, number];

	private _minMaxSpan: MinMaxSpan;

	private _dataZoomModel: DataZoomModel;

	constructor(
	dimName: DataZoomAxisDimension,
	axisIndex: number,
	dataZoomModel: DataZoomModel,
	ecModel: GlobalModel
	) {
	this._dimName = dimName;

	this._axisIndex = axisIndex;

	this.ecModel = ecModel;

	this._dataZoomModel = dataZoomModel;

	// /**
	// * @readOnly
	// * @private
	// */
	// this.hasSeriesStacked;
	}

	/**
	* Whether the axisProxy is hosted by dataZoomModel.
	*/
	hostedBy(dataZoomModel: DataZoomModel): boolean {
	return this._dataZoomModel === dataZoomModel;
	}

	/**
	* @return Value can only be NaN or finite value.
	*/
	getDataValueWindow() {
	return this._valueWindow.slice() as [number, number];
	}

	/**
	* @return {Array.<number>}
	*/
	getDataPercentWindow() {
	return this._percentWindow.slice() as [number, number];
	}

	getTargetSeriesModels() {
	const seriesModels: SeriesModel[] = [];

	this.ecModel.eachSeries(function (seriesModel) {
	if (isCoordSupported(seriesModel)) {
	const axisMainType = getAxisMainType(this._dimName);
	const axisModel = seriesModel.getReferringComponents(axisMainType, SINGLE_REFERRING).models[0];
	if (axisModel && this._axisIndex === axisModel.componentIndex) {
	seriesModels.push(seriesModel);
	}
	}
	}, this);

	return seriesModels;
	}

	getAxisModel(): AxisBaseModel {
	return this.ecModel.getComponent(this._dimName + 'Axis', this._axisIndex) as AxisBaseModel;
	}

	getMinMaxSpan() {
	return zrUtil.clone(this._minMaxSpan);
	}

	/**
	* Only calculate by given range and this._dataExtent, do not change anything.
	*/
	calculateDataWindow(opt?: {
	start?: number
	end?: number
	startValue?: number
	endValue?: number
	}) {
	const dataExtent = this._dataExtent;
	const axisModel = this.getAxisModel();
	const scale = axisModel.axis.scale;
	const rangePropMode = this._dataZoomModel.getRangePropMode();
	const percentExtent = [0, 100];
	const percentWindow = [] as unknown as [number, number];
	const valueWindow = [] as unknown as [number, number];
	let hasPropModeValue;

	each(['start', 'end'] as const, function (prop, idx) {
	let boundPercent = opt[prop];
	let boundValue = opt[prop + 'Value' as 'startValue' \| 'endValue'];

	// Notice: dataZoom is based either on `percentProp` ('start', 'end') or
	// on `valueProp` ('startValue', 'endValue'). (They are based on the data extent
	// but not min/max of axis, which will be calculated by data window then).
	// The former one is suitable for cases that a dataZoom component controls multiple
	// axes with different unit or extent, and the latter one is suitable for accurate
	// zoom by pixel (e.g., in dataZoomSelect).
	// we use `getRangePropMode()` to mark which prop is used. `rangePropMode` is updated
	// only when setOption or dispatchAction, otherwise it remains its original value.
	// (Why not only record `percentProp` and always map to `valueProp`? Because
	// the map `valueProp` -> `percentProp` -> `valueProp` probably not the original
	// `valueProp`. consider two axes constrolled by one dataZoom. They have different
	// data extent. All of values that are overflow the `dataExtent` will be calculated
	// to percent '100%').

	if (rangePropMode[idx] === 'percent') {
	boundPercent == null && (boundPercent = percentExtent[idx]);
	// Use scale.parse to math round for category or time axis.
	boundValue = scale.parse(numberUtil.linearMap(
	boundPercent, percentExtent, dataExtent
	));
	}
	else {
	hasPropModeValue = true;
	boundValue = boundValue == null ? dataExtent[idx] : scale.parse(boundValue);
	// Calculating `percent` from `value` may be not accurate, because
	// This calculation can not be inversed, because all of values that
	// are overflow the `dataExtent` will be calculated to percent '100%'
	boundPercent = numberUtil.linearMap(
	boundValue, dataExtent, percentExtent
	);
	}

	// valueWindow[idx] = round(boundValue);
	// percentWindow[idx] = round(boundPercent);
	valueWindow[idx] = boundValue;
	percentWindow[idx] = boundPercent;
	});

	asc(valueWindow);
	asc(percentWindow);

	// The windows from user calling of `dispatchAction` might be out of the extent,
	// or do not obey the `min/maxSpan`, `min/maxValueSpan`. But we dont restrict window
	// by `zoomLock` here, because we see `zoomLock` just as a interaction constraint,
	// where API is able to initialize/modify the window size even though `zoomLock`
	// specified.
	const spans = this._minMaxSpan;
	hasPropModeValue
	? restrictSet(valueWindow, percentWindow, dataExtent, percentExtent, false)
	: restrictSet(percentWindow, valueWindow, percentExtent, dataExtent, true);

	function restrictSet(
	fromWindow: number[],
	toWindow: number[],
	fromExtent: number[],
	toExtent: number[],
	toValue: boolean
	) {
	const suffix = toValue ? 'Span' : 'ValueSpan';
	sliderMove(
	0, fromWindow, fromExtent, 'all',
	spans['min' + suffix as 'minSpan' \| 'minValueSpan'],
	spans['max' + suffix as 'maxSpan' \| 'maxValueSpan']
	);
	for (let i = 0; i < 2; i++) {
	toWindow[i] = numberUtil.linearMap(fromWindow[i], fromExtent, toExtent, true);
	toValue && (toWindow[i] = scale.parse(toWindow[i]));
	}
	}

	return {
	valueWindow: valueWindow,
	percentWindow: percentWindow
	};
	}

	/**
	* Notice: reset should not be called before series.restoreData() called,
	* so it is recommanded to be called in "process stage" but not "model init
	* stage".
	*/
	reset(dataZoomModel: DataZoomModel) {
	if (dataZoomModel !== this._dataZoomModel) {
	return;
	}

	const targetSeries = this.getTargetSeriesModels();
	// Culculate data window and data extent, and record them.
	this._dataExtent = calculateDataExtent(this, this._dimName, targetSeries);

	// this.hasSeriesStacked = false;
	// each(targetSeries, function (series) {
	// let data = series.getData();
	// let dataDim = data.mapDimension(this._dimName);
	// let stackedDimension = data.getCalculationInfo('stackedDimension');
	// if (stackedDimension && stackedDimension === dataDim) {
	// this.hasSeriesStacked = true;
	// }
	// }, this);

	// `calculateDataWindow` uses min/maxSpan.
	this._updateMinMaxSpan();

	const dataWindow = this.calculateDataWindow(dataZoomModel.settledOption);

	this._valueWindow = dataWindow.valueWindow;
	this._percentWindow = dataWindow.percentWindow;

	// Update axis setting then.
	this._setAxisModel();
	}

	filterData(dataZoomModel: DataZoomModel, api: ExtensionAPI) {
	if (dataZoomModel !== this._dataZoomModel) {
	return;
	}

	const axisDim = this._dimName;
	const seriesModels = this.getTargetSeriesModels();
	const filterMode = dataZoomModel.get('filterMode');
	const valueWindow = this._valueWindow;

	if (filterMode === 'none') {
	return;
	}

	// FIXME
	// Toolbox may has dataZoom injected. And if there are stacked bar chart
	// with NaN data, NaN will be filtered and stack will be wrong.
	// So we need to force the mode to be set empty.
	// In fect, it is not a big deal that do not support filterMode-'filter'
	// when using toolbox#dataZoom, utill tooltip#dataZoom support "single axis
	// selection" some day, which might need "adapt to data extent on the
	// otherAxis", which is disabled by filterMode-'empty'.
	// But currently, stack has been fixed to based on value but not index,
	// so this is not an issue any more.
	// let otherAxisModel = this.getOtherAxisModel();
	// if (dataZoomModel.get('$fromToolbox')
	// && otherAxisModel
	// && otherAxisModel.hasSeriesStacked
	// ) {
	// filterMode = 'empty';
	// }

	// TODO
	// filterMode 'weakFilter' and 'empty' is not optimized for huge data yet.

	each(seriesModels, function (seriesModel) {
	let seriesData = seriesModel.getData();
	const dataDims = seriesData.mapDimensionsAll(axisDim);

	if (!dataDims.length) {
	return;
	}

	if (filterMode === 'weakFilter') {
	seriesData.filterSelf(function (dataIndex) {
	let leftOut;
	let rightOut;
	let hasValue;
	for (let i = 0; i < dataDims.length; i++) {
	const value = seriesData.get(dataDims[i], dataIndex) as number;
	const thisHasValue = !isNaN(value);
	const thisLeftOut = value < valueWindow[0];
	const thisRightOut = value > valueWindow[1];
	if (thisHasValue && !thisLeftOut && !thisRightOut) {
	return true;
	}
	thisHasValue && (hasValue = true);
	thisLeftOut && (leftOut = true);
	thisRightOut && (rightOut = true);
	}
	// If both left out and right out, do not filter.
	return hasValue && leftOut && rightOut;
	});
	}
	else {
	each(dataDims, function (dim) {
	if (filterMode === 'empty') {
	seriesModel.setData(
	seriesData = seriesData.map(dim, function (value: number) {
	return !isInWindow(value) ? NaN : value;
	})
	);
	}
	else {
	const range: Dictionary<[number, number]> = {};
	range[dim] = valueWindow;

	// console.time('select');
	seriesData.selectRange(range);
	// console.timeEnd('select');
	}
	});
	}

	each(dataDims, function (dim) {
	seriesData.setApproximateExtent(valueWindow, dim);
	});
	});

	function isInWindow(value: number) {
	return value >= valueWindow[0] && value <= valueWindow[1];
	}
	}

	private _updateMinMaxSpan() {
	const minMaxSpan = this._minMaxSpan = {} as MinMaxSpan;
	const dataZoomModel = this._dataZoomModel;
	const dataExtent = this._dataExtent;

	each(['min', 'max'], function (minMax) {
	let percentSpan = dataZoomModel.get(minMax + 'Span' as 'minSpan' \| 'maxSpan');
	let valueSpan = dataZoomModel.get(minMax + 'ValueSpan' as 'minValueSpan' \| 'maxValueSpan');
	valueSpan != null && (valueSpan = this.getAxisModel().axis.scale.parse(valueSpan));

	// minValueSpan and maxValueSpan has higher priority than minSpan and maxSpan
	if (valueSpan != null) {
	percentSpan = numberUtil.linearMap(
	dataExtent[0] + valueSpan, dataExtent, [0, 100], true
	);
	}
	else if (percentSpan != null) {
	valueSpan = numberUtil.linearMap(
	percentSpan, [0, 100], dataExtent, true
	) - dataExtent[0];
	}

	minMaxSpan[minMax + 'Span' as 'minSpan' \| 'maxSpan'] = percentSpan;
	minMaxSpan[minMax + 'ValueSpan' as 'minValueSpan' \| 'maxValueSpan'] = valueSpan;
	}, this);
	}

	private _setAxisModel() {

	const axisModel = this.getAxisModel();

	const percentWindow = this._percentWindow;
	const valueWindow = this._valueWindow;

	if (!percentWindow) {
	return;
	}

	// [0, 500]: arbitrary value, guess axis extent.
	let precision = numberUtil.getPixelPrecision(valueWindow, [0, 500]);
	precision = Math.min(precision, 20);

	// For value axis, if min/max/scale are not set, we just use the extent obtained
	// by series data, which may be a little different from the extent calculated by
	// `axisHelper.getScaleExtent`. But the different just affects the experience a
	// little when zooming. So it will not be fixed until some users require it strongly.
	const rawExtentInfo = axisModel.axis.scale.rawExtentInfo;
	if (percentWindow[0] !== 0) {
	rawExtentInfo.setDeterminedMinMax('min', +valueWindow[0].toFixed(precision));
	}
	if (percentWindow[1] !== 100) {
	rawExtentInfo.setDeterminedMinMax('max', +valueWindow[1].toFixed(precision));
	}
	rawExtentInfo.freeze();
	}
	}

	function calculateDataExtent(axisProxy: AxisProxy, axisDim: string, seriesModels: SeriesModel[]) {
	const dataExtent = [Infinity, -Infinity];

	each(seriesModels, function (seriesModel) {
	unionAxisExtentFromData(dataExtent, seriesModel.getData(), axisDim);
	});

	// It is important to get "consistent" extent when more then one axes is
	// controlled by a `dataZoom`, otherwise those axes will not be synchronized
	// when zooming. But it is difficult to know what is "consistent", considering
	// axes have different type or even different meanings (For example, two
	// time axes are used to compare data of the same date in different years).
	// So basically dataZoom just obtains extent by series.data (in category axis
	// extent can be obtained from axis.data).
	// Nevertheless, user can set min/max/scale on axes to make extent of axes
	// consistent.
	const axisModel = axisProxy.getAxisModel();
	const rawExtentResult = ensureScaleRawExtentInfo(axisModel.axis.scale, axisModel, dataExtent).calculate();

	return [rawExtentResult.min, rawExtentResult.max] as [number, number];
	}

	export default AxisProxy;