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- /*
- * 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.
- */
- /**
- * AUTO-GENERATED FILE. DO NOT MODIFY.
- */
- /*
- * 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 { isFunction, isString } from 'zrender/lib/core/util.js';
- var samplers = {
- average: function (frame) {
- var sum = 0;
- var count = 0;
- for (var i = 0; i < frame.length; i++) {
- if (!isNaN(frame[i])) {
- sum += frame[i];
- count++;
- }
- }
- // Return NaN if count is 0
- return count === 0 ? NaN : sum / count;
- },
- sum: function (frame) {
- var sum = 0;
- for (var i = 0; i < frame.length; i++) {
- // Ignore NaN
- sum += frame[i] || 0;
- }
- return sum;
- },
- max: function (frame) {
- var max = -Infinity;
- for (var i = 0; i < frame.length; i++) {
- frame[i] > max && (max = frame[i]);
- }
- // NaN will cause illegal axis extent.
- return isFinite(max) ? max : NaN;
- },
- min: function (frame) {
- var min = Infinity;
- for (var i = 0; i < frame.length; i++) {
- frame[i] < min && (min = frame[i]);
- }
- // NaN will cause illegal axis extent.
- return isFinite(min) ? min : NaN;
- },
- minmax: function (frame) {
- var turningPointAbsoluteValue = -Infinity;
- var turningPointOriginalValue = -Infinity;
- for (var i = 0; i < frame.length; i++) {
- var originalValue = frame[i];
- var absoluteValue = Math.abs(originalValue);
- if (absoluteValue > turningPointAbsoluteValue) {
- turningPointAbsoluteValue = absoluteValue;
- turningPointOriginalValue = originalValue;
- }
- }
- return isFinite(turningPointOriginalValue) ? turningPointOriginalValue : NaN;
- },
- // TODO
- // Median
- nearest: function (frame) {
- return frame[0];
- }
- };
- var indexSampler = function (frame) {
- return Math.round(frame.length / 2);
- };
- export default function dataSample(seriesType) {
- return {
- seriesType: seriesType,
- // FIXME:TS never used, so comment it
- // modifyOutputEnd: true,
- reset: function (seriesModel, ecModel, api) {
- var data = seriesModel.getData();
- var sampling = seriesModel.get('sampling');
- var coordSys = seriesModel.coordinateSystem;
- var count = data.count();
- // Only cartesian2d support down sampling. Disable it when there is few data.
- if (count > 10 && coordSys.type === 'cartesian2d' && sampling) {
- var baseAxis = coordSys.getBaseAxis();
- var valueAxis = coordSys.getOtherAxis(baseAxis);
- var extent = baseAxis.getExtent();
- var dpr = api.getDevicePixelRatio();
- // Coordinste system has been resized
- var size = Math.abs(extent[1] - extent[0]) * (dpr || 1);
- var rate = Math.round(count / size);
- if (isFinite(rate) && rate > 1) {
- if (sampling === 'lttb') {
- seriesModel.setData(data.lttbDownSample(data.mapDimension(valueAxis.dim), 1 / rate));
- }
- var sampler = void 0;
- if (isString(sampling)) {
- sampler = samplers[sampling];
- } else if (isFunction(sampling)) {
- sampler = sampling;
- }
- if (sampler) {
- // Only support sample the first dim mapped from value axis.
- seriesModel.setData(data.downSample(data.mapDimension(valueAxis.dim), 1 / rate, sampler, indexSampler));
- }
- }
- }
- }
- };
- }
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