| 1 |
- {"ast":null,"code":"import \"core-js/modules/es.array.push.js\";\nimport \"core-js/modules/es.iterator.constructor.js\";\nimport \"core-js/modules/es.iterator.map.js\";\n/*\n* Licensed to the Apache Software Foundation (ASF) under one\n* or more contributor license agreements. See the NOTICE file\n* distributed with this work for additional information\n* regarding copyright ownership. The ASF licenses this file\n* to you under the Apache License, Version 2.0 (the\n* \"License\"); you may not use this file except in compliance\n* with the License. You may obtain a copy of the License at\n*\n* http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing,\n* software distributed under the License is distributed on an\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n* KIND, either express or implied. See the License for the\n* specific language governing permissions and limitations\n* under the License.\n*/\n\n/**\n * AUTO-GENERATED FILE. DO NOT MODIFY.\n */\n\n/*\r\n* Licensed to the Apache Software Foundation (ASF) under one\r\n* or more contributor license agreements. See the NOTICE file\r\n* distributed with this work for additional information\r\n* regarding copyright ownership. The ASF licenses this file\r\n* to you under the Apache License, Version 2.0 (the\r\n* \"License\"); you may not use this file except in compliance\r\n* with the License. You may obtain a copy of the License at\r\n*\r\n* http://www.apache.org/licenses/LICENSE-2.0\r\n*\r\n* Unless required by applicable law or agreed to in writing,\r\n* software distributed under the License is distributed on an\r\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\r\n* KIND, either express or implied. See the License for the\r\n* specific language governing permissions and limitations\r\n* under the License.\r\n*/\nimport * as zrUtil from 'zrender/lib/core/util.js';\nimport * as numberUtil from '../../util/number.js';\nimport sliderMove from '../helper/sliderMove.js';\nimport { unionAxisExtentFromData } from '../../coord/axisHelper.js';\nimport { ensureScaleRawExtentInfo } from '../../coord/scaleRawExtentInfo.js';\nimport { getAxisMainType, isCoordSupported } from './helper.js';\nimport { SINGLE_REFERRING } from '../../util/model.js';\nvar each = zrUtil.each;\nvar asc = numberUtil.asc;\n/**\r\n * Operate single axis.\r\n * One axis can only operated by one axis operator.\r\n * Different dataZoomModels may be defined to operate the same axis.\r\n * (i.e. 'inside' data zoom and 'slider' data zoom components)\r\n * So dataZoomModels share one axisProxy in that case.\r\n */\nvar AxisProxy = /** @class */function () {\n function AxisProxy(dimName, axisIndex, dataZoomModel, ecModel) {\n this._dimName = dimName;\n this._axisIndex = axisIndex;\n this.ecModel = ecModel;\n this._dataZoomModel = dataZoomModel;\n // /**\n // * @readOnly\n // * @private\n // */\n // this.hasSeriesStacked;\n }\n /**\r\n * Whether the axisProxy is hosted by dataZoomModel.\r\n */\n AxisProxy.prototype.hostedBy = function (dataZoomModel) {\n return this._dataZoomModel === dataZoomModel;\n };\n /**\r\n * @return Value can only be NaN or finite value.\r\n */\n AxisProxy.prototype.getDataValueWindow = function () {\n return this._valueWindow.slice();\n };\n /**\r\n * @return {Array.<number>}\r\n */\n AxisProxy.prototype.getDataPercentWindow = function () {\n return this._percentWindow.slice();\n };\n AxisProxy.prototype.getTargetSeriesModels = function () {\n var seriesModels = [];\n this.ecModel.eachSeries(function (seriesModel) {\n if (isCoordSupported(seriesModel)) {\n var axisMainType = getAxisMainType(this._dimName);\n var axisModel = seriesModel.getReferringComponents(axisMainType, SINGLE_REFERRING).models[0];\n if (axisModel && this._axisIndex === axisModel.componentIndex) {\n seriesModels.push(seriesModel);\n }\n }\n }, this);\n return seriesModels;\n };\n AxisProxy.prototype.getAxisModel = function () {\n return this.ecModel.getComponent(this._dimName + 'Axis', this._axisIndex);\n };\n AxisProxy.prototype.getMinMaxSpan = function () {\n return zrUtil.clone(this._minMaxSpan);\n };\n /**\r\n * Only calculate by given range and this._dataExtent, do not change anything.\r\n */\n AxisProxy.prototype.calculateDataWindow = function (opt) {\n var dataExtent = this._dataExtent;\n var axisModel = this.getAxisModel();\n var scale = axisModel.axis.scale;\n var rangePropMode = this._dataZoomModel.getRangePropMode();\n var percentExtent = [0, 100];\n var percentWindow = [];\n var valueWindow = [];\n var hasPropModeValue;\n each(['start', 'end'], function (prop, idx) {\n var boundPercent = opt[prop];\n var boundValue = opt[prop + 'Value'];\n // Notice: dataZoom is based either on `percentProp` ('start', 'end') or\n // on `valueProp` ('startValue', 'endValue'). (They are based on the data extent\n // but not min/max of axis, which will be calculated by data window then).\n // The former one is suitable for cases that a dataZoom component controls multiple\n // axes with different unit or extent, and the latter one is suitable for accurate\n // zoom by pixel (e.g., in dataZoomSelect).\n // we use `getRangePropMode()` to mark which prop is used. `rangePropMode` is updated\n // only when setOption or dispatchAction, otherwise it remains its original value.\n // (Why not only record `percentProp` and always map to `valueProp`? Because\n // the map `valueProp` -> `percentProp` -> `valueProp` probably not the original\n // `valueProp`. consider two axes constrolled by one dataZoom. They have different\n // data extent. All of values that are overflow the `dataExtent` will be calculated\n // to percent '100%').\n if (rangePropMode[idx] === 'percent') {\n boundPercent == null && (boundPercent = percentExtent[idx]);\n // Use scale.parse to math round for category or time axis.\n boundValue = scale.parse(numberUtil.linearMap(boundPercent, percentExtent, dataExtent));\n } else {\n hasPropModeValue = true;\n boundValue = boundValue == null ? dataExtent[idx] : scale.parse(boundValue);\n // Calculating `percent` from `value` may be not accurate, because\n // This calculation can not be inversed, because all of values that\n // are overflow the `dataExtent` will be calculated to percent '100%'\n boundPercent = numberUtil.linearMap(boundValue, dataExtent, percentExtent);\n }\n // valueWindow[idx] = round(boundValue);\n // percentWindow[idx] = round(boundPercent);\n // fallback to extent start/end when parsed value or percent is invalid\n valueWindow[idx] = boundValue == null || isNaN(boundValue) ? dataExtent[idx] : boundValue;\n percentWindow[idx] = boundPercent == null || isNaN(boundPercent) ? percentExtent[idx] : boundPercent;\n });\n asc(valueWindow);\n asc(percentWindow);\n // The windows from user calling of `dispatchAction` might be out of the extent,\n // or do not obey the `min/maxSpan`, `min/maxValueSpan`. But we don't restrict window\n // by `zoomLock` here, because we see `zoomLock` just as a interaction constraint,\n // where API is able to initialize/modify the window size even though `zoomLock`\n // specified.\n var spans = this._minMaxSpan;\n hasPropModeValue ? restrictSet(valueWindow, percentWindow, dataExtent, percentExtent, false) : restrictSet(percentWindow, valueWindow, percentExtent, dataExtent, true);\n function restrictSet(fromWindow, toWindow, fromExtent, toExtent, toValue) {\n var suffix = toValue ? 'Span' : 'ValueSpan';\n sliderMove(0, fromWindow, fromExtent, 'all', spans['min' + suffix], spans['max' + suffix]);\n for (var i = 0; i < 2; i++) {\n toWindow[i] = numberUtil.linearMap(fromWindow[i], fromExtent, toExtent, true);\n toValue && (toWindow[i] = scale.parse(toWindow[i]));\n }\n }\n return {\n valueWindow: valueWindow,\n percentWindow: percentWindow\n };\n };\n /**\r\n * Notice: reset should not be called before series.restoreData() is called,\r\n * so it is recommended to be called in \"process stage\" but not \"model init\r\n * stage\".\r\n */\n AxisProxy.prototype.reset = function (dataZoomModel) {\n if (dataZoomModel !== this._dataZoomModel) {\n return;\n }\n var targetSeries = this.getTargetSeriesModels();\n // Culculate data window and data extent, and record them.\n this._dataExtent = calculateDataExtent(this, this._dimName, targetSeries);\n // `calculateDataWindow` uses min/maxSpan.\n this._updateMinMaxSpan();\n var dataWindow = this.calculateDataWindow(dataZoomModel.settledOption);\n this._valueWindow = dataWindow.valueWindow;\n this._percentWindow = dataWindow.percentWindow;\n // Update axis setting then.\n this._setAxisModel();\n };\n AxisProxy.prototype.filterData = function (dataZoomModel, api) {\n if (dataZoomModel !== this._dataZoomModel) {\n return;\n }\n var axisDim = this._dimName;\n var seriesModels = this.getTargetSeriesModels();\n var filterMode = dataZoomModel.get('filterMode');\n var valueWindow = this._valueWindow;\n if (filterMode === 'none') {\n return;\n }\n // FIXME\n // Toolbox may has dataZoom injected. And if there are stacked bar chart\n // with NaN data, NaN will be filtered and stack will be wrong.\n // So we need to force the mode to be set empty.\n // In fect, it is not a big deal that do not support filterMode-'filter'\n // when using toolbox#dataZoom, utill tooltip#dataZoom support \"single axis\n // selection\" some day, which might need \"adapt to data extent on the\n // otherAxis\", which is disabled by filterMode-'empty'.\n // But currently, stack has been fixed to based on value but not index,\n // so this is not an issue any more.\n // let otherAxisModel = this.getOtherAxisModel();\n // if (dataZoomModel.get('$fromToolbox')\n // && otherAxisModel\n // && otherAxisModel.hasSeriesStacked\n // ) {\n // filterMode = 'empty';\n // }\n // TODO\n // filterMode 'weakFilter' and 'empty' is not optimized for huge data yet.\n each(seriesModels, function (seriesModel) {\n var seriesData = seriesModel.getData();\n var dataDims = seriesData.mapDimensionsAll(axisDim);\n if (!dataDims.length) {\n return;\n }\n if (filterMode === 'weakFilter') {\n var store_1 = seriesData.getStore();\n var dataDimIndices_1 = zrUtil.map(dataDims, function (dim) {\n return seriesData.getDimensionIndex(dim);\n }, seriesData);\n seriesData.filterSelf(function (dataIndex) {\n var leftOut;\n var rightOut;\n var hasValue;\n for (var i = 0; i < dataDims.length; i++) {\n var value = store_1.get(dataDimIndices_1[i], dataIndex);\n var thisHasValue = !isNaN(value);\n var thisLeftOut = value < valueWindow[0];\n var thisRightOut = value > valueWindow[1];\n if (thisHasValue && !thisLeftOut && !thisRightOut) {\n return true;\n }\n thisHasValue && (hasValue = true);\n thisLeftOut && (leftOut = true);\n thisRightOut && (rightOut = true);\n }\n // If both left out and right out, do not filter.\n return hasValue && leftOut && rightOut;\n });\n } else {\n each(dataDims, function (dim) {\n if (filterMode === 'empty') {\n seriesModel.setData(seriesData = seriesData.map(dim, function (value) {\n return !isInWindow(value) ? NaN : value;\n }));\n } else {\n var range = {};\n range[dim] = valueWindow;\n // console.time('select');\n seriesData.selectRange(range);\n // console.timeEnd('select');\n }\n });\n }\n each(dataDims, function (dim) {\n seriesData.setApproximateExtent(valueWindow, dim);\n });\n });\n function isInWindow(value) {\n return value >= valueWindow[0] && value <= valueWindow[1];\n }\n };\n AxisProxy.prototype._updateMinMaxSpan = function () {\n var minMaxSpan = this._minMaxSpan = {};\n var dataZoomModel = this._dataZoomModel;\n var dataExtent = this._dataExtent;\n each(['min', 'max'], function (minMax) {\n var percentSpan = dataZoomModel.get(minMax + 'Span');\n var valueSpan = dataZoomModel.get(minMax + 'ValueSpan');\n valueSpan != null && (valueSpan = this.getAxisModel().axis.scale.parse(valueSpan));\n // minValueSpan and maxValueSpan has higher priority than minSpan and maxSpan\n if (valueSpan != null) {\n percentSpan = numberUtil.linearMap(dataExtent[0] + valueSpan, dataExtent, [0, 100], true);\n } else if (percentSpan != null) {\n valueSpan = numberUtil.linearMap(percentSpan, [0, 100], dataExtent, true) - dataExtent[0];\n }\n minMaxSpan[minMax + 'Span'] = percentSpan;\n minMaxSpan[minMax + 'ValueSpan'] = valueSpan;\n }, this);\n };\n AxisProxy.prototype._setAxisModel = function () {\n var axisModel = this.getAxisModel();\n var percentWindow = this._percentWindow;\n var valueWindow = this._valueWindow;\n if (!percentWindow) {\n return;\n }\n // [0, 500]: arbitrary value, guess axis extent.\n var precision = numberUtil.getPixelPrecision(valueWindow, [0, 500]);\n precision = Math.min(precision, 20);\n // For value axis, if min/max/scale are not set, we just use the extent obtained\n // by series data, which may be a little different from the extent calculated by\n // `axisHelper.getScaleExtent`. But the different just affects the experience a\n // little when zooming. So it will not be fixed until some users require it strongly.\n var rawExtentInfo = axisModel.axis.scale.rawExtentInfo;\n if (percentWindow[0] !== 0) {\n rawExtentInfo.setDeterminedMinMax('min', +valueWindow[0].toFixed(precision));\n }\n if (percentWindow[1] !== 100) {\n rawExtentInfo.setDeterminedMinMax('max', +valueWindow[1].toFixed(precision));\n }\n rawExtentInfo.freeze();\n };\n return AxisProxy;\n}();\nfunction calculateDataExtent(axisProxy, axisDim, seriesModels) {\n var dataExtent = [Infinity, -Infinity];\n each(seriesModels, function (seriesModel) {\n unionAxisExtentFromData(dataExtent, seriesModel.getData(), axisDim);\n });\n // It is important to get \"consistent\" extent when more then one axes is\n // controlled by a `dataZoom`, otherwise those axes will not be synchronized\n // when zooming. But it is difficult to know what is \"consistent\", considering\n // axes have different type or even different meanings (For example, two\n // time axes are used to compare data of the same date in different years).\n // So basically dataZoom just obtains extent by series.data (in category axis\n // extent can be obtained from axis.data).\n // Nevertheless, user can set min/max/scale on axes to make extent of axes\n // consistent.\n var axisModel = axisProxy.getAxisModel();\n var rawExtentResult = ensureScaleRawExtentInfo(axisModel.axis.scale, axisModel, dataExtent).calculate();\n return [rawExtentResult.min, rawExtentResult.max];\n}\nexport default AxisProxy;","map":{"version":3,"names":["zrUtil","numberUtil","sliderMove","unionAxisExtentFromData","ensureScaleRawExtentInfo","getAxisMainType","isCoordSupported","SINGLE_REFERRING","each","asc","AxisProxy","dimName","axisIndex","dataZoomModel","ecModel","_dimName","_axisIndex","_dataZoomModel","prototype","hostedBy","getDataValueWindow","_valueWindow","slice","getDataPercentWindow","_percentWindow","getTargetSeriesModels","seriesModels","eachSeries","seriesModel","axisMainType","axisModel","getReferringComponents","models","componentIndex","push","getAxisModel","getComponent","getMinMaxSpan","clone","_minMaxSpan","calculateDataWindow","opt","dataExtent","_dataExtent","scale","axis","rangePropMode","getRangePropMode","percentExtent","percentWindow","valueWindow","hasPropModeValue","prop","idx","boundPercent","boundValue","parse","linearMap","isNaN","spans","restrictSet","fromWindow","toWindow","fromExtent","toExtent","toValue","suffix","i","reset","targetSeries","calculateDataExtent","_updateMinMaxSpan","dataWindow","settledOption","_setAxisModel","filterData","api","axisDim","filterMode","get","seriesData","getData","dataDims","mapDimensionsAll","length","store_1","getStore","dataDimIndices_1","map","dim","getDimensionIndex","filterSelf","dataIndex","leftOut","rightOut","hasValue","value","thisHasValue","thisLeftOut","thisRightOut","setData","isInWindow","NaN","range","selectRange","setApproximateExtent","minMaxSpan","minMax","percentSpan","valueSpan","precision","getPixelPrecision","Math","min","rawExtentInfo","setDeterminedMinMax","toFixed","freeze","axisProxy","Infinity","rawExtentResult","calculate","max"],"sources":["E:/git/2021项目/安科院大屏/node_modules/echarts/lib/component/dataZoom/AxisProxy.js"],"sourcesContent":["\n/*\n* Licensed to the Apache Software Foundation (ASF) under one\n* or more contributor license agreements. See the NOTICE file\n* distributed with this work for additional information\n* regarding copyright ownership. The ASF licenses this file\n* to you under the Apache License, Version 2.0 (the\n* \"License\"); you may not use this file except in compliance\n* with the License. You may obtain a copy of the License at\n*\n* http://www.apache.org/licenses/LICENSE-2.0\n*\n* Unless required by applicable law or agreed to in writing,\n* software distributed under the License is distributed on an\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n* KIND, either express or implied. See the License for the\n* specific language governing permissions and limitations\n* under the License.\n*/\n\n\n/**\n * AUTO-GENERATED FILE. DO NOT MODIFY.\n */\n\n/*\r\n* Licensed to the Apache Software Foundation (ASF) under one\r\n* or more contributor license agreements. See the NOTICE file\r\n* distributed with this work for additional information\r\n* regarding copyright ownership. The ASF licenses this file\r\n* to you under the Apache License, Version 2.0 (the\r\n* \"License\"); you may not use this file except in compliance\r\n* with the License. You may obtain a copy of the License at\r\n*\r\n* http://www.apache.org/licenses/LICENSE-2.0\r\n*\r\n* Unless required by applicable law or agreed to in writing,\r\n* software distributed under the License is distributed on an\r\n* \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\r\n* KIND, either express or implied. See the License for the\r\n* specific language governing permissions and limitations\r\n* under the License.\r\n*/\nimport * as zrUtil from 'zrender/lib/core/util.js';\nimport * as numberUtil from '../../util/number.js';\nimport sliderMove from '../helper/sliderMove.js';\nimport { unionAxisExtentFromData } from '../../coord/axisHelper.js';\nimport { ensureScaleRawExtentInfo } from '../../coord/scaleRawExtentInfo.js';\nimport { getAxisMainType, isCoordSupported } from './helper.js';\nimport { SINGLE_REFERRING } from '../../util/model.js';\nvar each = zrUtil.each;\nvar asc = numberUtil.asc;\n/**\r\n * Operate single axis.\r\n * One axis can only operated by one axis operator.\r\n * Different dataZoomModels may be defined to operate the same axis.\r\n * (i.e. 'inside' data zoom and 'slider' data zoom components)\r\n * So dataZoomModels share one axisProxy in that case.\r\n */\nvar AxisProxy = /** @class */function () {\n function AxisProxy(dimName, axisIndex, dataZoomModel, ecModel) {\n this._dimName = dimName;\n this._axisIndex = axisIndex;\n this.ecModel = ecModel;\n this._dataZoomModel = dataZoomModel;\n // /**\n // * @readOnly\n // * @private\n // */\n // this.hasSeriesStacked;\n }\n /**\r\n * Whether the axisProxy is hosted by dataZoomModel.\r\n */\n AxisProxy.prototype.hostedBy = function (dataZoomModel) {\n return this._dataZoomModel === dataZoomModel;\n };\n /**\r\n * @return Value can only be NaN or finite value.\r\n */\n AxisProxy.prototype.getDataValueWindow = function () {\n return this._valueWindow.slice();\n };\n /**\r\n * @return {Array.<number>}\r\n */\n AxisProxy.prototype.getDataPercentWindow = function () {\n return this._percentWindow.slice();\n };\n AxisProxy.prototype.getTargetSeriesModels = function () {\n var seriesModels = [];\n this.ecModel.eachSeries(function (seriesModel) {\n if (isCoordSupported(seriesModel)) {\n var axisMainType = getAxisMainType(this._dimName);\n var axisModel = seriesModel.getReferringComponents(axisMainType, SINGLE_REFERRING).models[0];\n if (axisModel && this._axisIndex === axisModel.componentIndex) {\n seriesModels.push(seriesModel);\n }\n }\n }, this);\n return seriesModels;\n };\n AxisProxy.prototype.getAxisModel = function () {\n return this.ecModel.getComponent(this._dimName + 'Axis', this._axisIndex);\n };\n AxisProxy.prototype.getMinMaxSpan = function () {\n return zrUtil.clone(this._minMaxSpan);\n };\n /**\r\n * Only calculate by given range and this._dataExtent, do not change anything.\r\n */\n AxisProxy.prototype.calculateDataWindow = function (opt) {\n var dataExtent = this._dataExtent;\n var axisModel = this.getAxisModel();\n var scale = axisModel.axis.scale;\n var rangePropMode = this._dataZoomModel.getRangePropMode();\n var percentExtent = [0, 100];\n var percentWindow = [];\n var valueWindow = [];\n var hasPropModeValue;\n each(['start', 'end'], function (prop, idx) {\n var boundPercent = opt[prop];\n var boundValue = opt[prop + 'Value'];\n // Notice: dataZoom is based either on `percentProp` ('start', 'end') or\n // on `valueProp` ('startValue', 'endValue'). (They are based on the data extent\n // but not min/max of axis, which will be calculated by data window then).\n // The former one is suitable for cases that a dataZoom component controls multiple\n // axes with different unit or extent, and the latter one is suitable for accurate\n // zoom by pixel (e.g., in dataZoomSelect).\n // we use `getRangePropMode()` to mark which prop is used. `rangePropMode` is updated\n // only when setOption or dispatchAction, otherwise it remains its original value.\n // (Why not only record `percentProp` and always map to `valueProp`? Because\n // the map `valueProp` -> `percentProp` -> `valueProp` probably not the original\n // `valueProp`. consider two axes constrolled by one dataZoom. They have different\n // data extent. All of values that are overflow the `dataExtent` will be calculated\n // to percent '100%').\n if (rangePropMode[idx] === 'percent') {\n boundPercent == null && (boundPercent = percentExtent[idx]);\n // Use scale.parse to math round for category or time axis.\n boundValue = scale.parse(numberUtil.linearMap(boundPercent, percentExtent, dataExtent));\n } else {\n hasPropModeValue = true;\n boundValue = boundValue == null ? dataExtent[idx] : scale.parse(boundValue);\n // Calculating `percent` from `value` may be not accurate, because\n // This calculation can not be inversed, because all of values that\n // are overflow the `dataExtent` will be calculated to percent '100%'\n boundPercent = numberUtil.linearMap(boundValue, dataExtent, percentExtent);\n }\n // valueWindow[idx] = round(boundValue);\n // percentWindow[idx] = round(boundPercent);\n // fallback to extent start/end when parsed value or percent is invalid\n valueWindow[idx] = boundValue == null || isNaN(boundValue) ? dataExtent[idx] : boundValue;\n percentWindow[idx] = boundPercent == null || isNaN(boundPercent) ? percentExtent[idx] : boundPercent;\n });\n asc(valueWindow);\n asc(percentWindow);\n // The windows from user calling of `dispatchAction` might be out of the extent,\n // or do not obey the `min/maxSpan`, `min/maxValueSpan`. But we don't restrict window\n // by `zoomLock` here, because we see `zoomLock` just as a interaction constraint,\n // where API is able to initialize/modify the window size even though `zoomLock`\n // specified.\n var spans = this._minMaxSpan;\n hasPropModeValue ? restrictSet(valueWindow, percentWindow, dataExtent, percentExtent, false) : restrictSet(percentWindow, valueWindow, percentExtent, dataExtent, true);\n function restrictSet(fromWindow, toWindow, fromExtent, toExtent, toValue) {\n var suffix = toValue ? 'Span' : 'ValueSpan';\n sliderMove(0, fromWindow, fromExtent, 'all', spans['min' + suffix], spans['max' + suffix]);\n for (var i = 0; i < 2; i++) {\n toWindow[i] = numberUtil.linearMap(fromWindow[i], fromExtent, toExtent, true);\n toValue && (toWindow[i] = scale.parse(toWindow[i]));\n }\n }\n return {\n valueWindow: valueWindow,\n percentWindow: percentWindow\n };\n };\n /**\r\n * Notice: reset should not be called before series.restoreData() is called,\r\n * so it is recommended to be called in \"process stage\" but not \"model init\r\n * stage\".\r\n */\n AxisProxy.prototype.reset = function (dataZoomModel) {\n if (dataZoomModel !== this._dataZoomModel) {\n return;\n }\n var targetSeries = this.getTargetSeriesModels();\n // Culculate data window and data extent, and record them.\n this._dataExtent = calculateDataExtent(this, this._dimName, targetSeries);\n // `calculateDataWindow` uses min/maxSpan.\n this._updateMinMaxSpan();\n var dataWindow = this.calculateDataWindow(dataZoomModel.settledOption);\n this._valueWindow = dataWindow.valueWindow;\n this._percentWindow = dataWindow.percentWindow;\n // Update axis setting then.\n this._setAxisModel();\n };\n AxisProxy.prototype.filterData = function (dataZoomModel, api) {\n if (dataZoomModel !== this._dataZoomModel) {\n return;\n }\n var axisDim = this._dimName;\n var seriesModels = this.getTargetSeriesModels();\n var filterMode = dataZoomModel.get('filterMode');\n var valueWindow = this._valueWindow;\n if (filterMode === 'none') {\n return;\n }\n // FIXME\n // Toolbox may has dataZoom injected. And if there are stacked bar chart\n // with NaN data, NaN will be filtered and stack will be wrong.\n // So we need to force the mode to be set empty.\n // In fect, it is not a big deal that do not support filterMode-'filter'\n // when using toolbox#dataZoom, utill tooltip#dataZoom support \"single axis\n // selection\" some day, which might need \"adapt to data extent on the\n // otherAxis\", which is disabled by filterMode-'empty'.\n // But currently, stack has been fixed to based on value but not index,\n // so this is not an issue any more.\n // let otherAxisModel = this.getOtherAxisModel();\n // if (dataZoomModel.get('$fromToolbox')\n // && otherAxisModel\n // && otherAxisModel.hasSeriesStacked\n // ) {\n // filterMode = 'empty';\n // }\n // TODO\n // filterMode 'weakFilter' and 'empty' is not optimized for huge data yet.\n each(seriesModels, function (seriesModel) {\n var seriesData = seriesModel.getData();\n var dataDims = seriesData.mapDimensionsAll(axisDim);\n if (!dataDims.length) {\n return;\n }\n if (filterMode === 'weakFilter') {\n var store_1 = seriesData.getStore();\n var dataDimIndices_1 = zrUtil.map(dataDims, function (dim) {\n return seriesData.getDimensionIndex(dim);\n }, seriesData);\n seriesData.filterSelf(function (dataIndex) {\n var leftOut;\n var rightOut;\n var hasValue;\n for (var i = 0; i < dataDims.length; i++) {\n var value = store_1.get(dataDimIndices_1[i], dataIndex);\n var thisHasValue = !isNaN(value);\n var thisLeftOut = value < valueWindow[0];\n var thisRightOut = value > valueWindow[1];\n if (thisHasValue && !thisLeftOut && !thisRightOut) {\n return true;\n }\n thisHasValue && (hasValue = true);\n thisLeftOut && (leftOut = true);\n thisRightOut && (rightOut = true);\n }\n // If both left out and right out, do not filter.\n return hasValue && leftOut && rightOut;\n });\n } else {\n each(dataDims, function (dim) {\n if (filterMode === 'empty') {\n seriesModel.setData(seriesData = seriesData.map(dim, function (value) {\n return !isInWindow(value) ? NaN : value;\n }));\n } else {\n var range = {};\n range[dim] = valueWindow;\n // console.time('select');\n seriesData.selectRange(range);\n // console.timeEnd('select');\n }\n });\n }\n each(dataDims, function (dim) {\n seriesData.setApproximateExtent(valueWindow, dim);\n });\n });\n function isInWindow(value) {\n return value >= valueWindow[0] && value <= valueWindow[1];\n }\n };\n AxisProxy.prototype._updateMinMaxSpan = function () {\n var minMaxSpan = this._minMaxSpan = {};\n var dataZoomModel = this._dataZoomModel;\n var dataExtent = this._dataExtent;\n each(['min', 'max'], function (minMax) {\n var percentSpan = dataZoomModel.get(minMax + 'Span');\n var valueSpan = dataZoomModel.get(minMax + 'ValueSpan');\n valueSpan != null && (valueSpan = this.getAxisModel().axis.scale.parse(valueSpan));\n // minValueSpan and maxValueSpan has higher priority than minSpan and maxSpan\n if (valueSpan != null) {\n percentSpan = numberUtil.linearMap(dataExtent[0] + valueSpan, dataExtent, [0, 100], true);\n } else if (percentSpan != null) {\n valueSpan = numberUtil.linearMap(percentSpan, [0, 100], dataExtent, true) - dataExtent[0];\n }\n minMaxSpan[minMax + 'Span'] = percentSpan;\n minMaxSpan[minMax + 'ValueSpan'] = valueSpan;\n }, this);\n };\n AxisProxy.prototype._setAxisModel = function () {\n var axisModel = this.getAxisModel();\n var percentWindow = this._percentWindow;\n var valueWindow = this._valueWindow;\n if (!percentWindow) {\n return;\n }\n // [0, 500]: arbitrary value, guess axis extent.\n var precision = numberUtil.getPixelPrecision(valueWindow, [0, 500]);\n precision = Math.min(precision, 20);\n // For value axis, if min/max/scale are not set, we just use the extent obtained\n // by series data, which may be a little different from the extent calculated by\n // `axisHelper.getScaleExtent`. But the different just affects the experience a\n // little when zooming. So it will not be fixed until some users require it strongly.\n var rawExtentInfo = axisModel.axis.scale.rawExtentInfo;\n if (percentWindow[0] !== 0) {\n rawExtentInfo.setDeterminedMinMax('min', +valueWindow[0].toFixed(precision));\n }\n if (percentWindow[1] !== 100) {\n rawExtentInfo.setDeterminedMinMax('max', +valueWindow[1].toFixed(precision));\n }\n rawExtentInfo.freeze();\n };\n return AxisProxy;\n}();\nfunction calculateDataExtent(axisProxy, axisDim, seriesModels) {\n var dataExtent = [Infinity, -Infinity];\n each(seriesModels, function (seriesModel) {\n unionAxisExtentFromData(dataExtent, seriesModel.getData(), axisDim);\n });\n // It is important to get \"consistent\" extent when more then one axes is\n // controlled by a `dataZoom`, otherwise those axes will not be synchronized\n // when zooming. But it is difficult to know what is \"consistent\", considering\n // axes have different type or even different meanings (For example, two\n // time axes are used to compare data of the same date in different years).\n // So basically dataZoom just obtains extent by series.data (in category axis\n // extent can be obtained from axis.data).\n // Nevertheless, user can set min/max/scale on axes to make extent of axes\n // consistent.\n var axisModel = axisProxy.getAxisModel();\n var rawExtentResult = ensureScaleRawExtentInfo(axisModel.axis.scale, axisModel, dataExtent).calculate();\n return [rawExtentResult.min, rawExtentResult.max];\n}\nexport default 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