141 lines
4.7 KiB
JavaScript
141 lines
4.7 KiB
JavaScript
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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/**
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* AUTO-GENERATED FILE. DO NOT MODIFY.
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*/
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import { isFunction, isString } from 'zrender/lib/core/util.js';
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var samplers = {
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average: function (frame) {
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var sum = 0;
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var count = 0;
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for (var i = 0; i < frame.length; i++) {
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if (!isNaN(frame[i])) {
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sum += frame[i];
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count++;
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}
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}
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// Return NaN if count is 0
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return count === 0 ? NaN : sum / count;
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},
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sum: function (frame) {
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var sum = 0;
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for (var i = 0; i < frame.length; i++) {
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// Ignore NaN
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sum += frame[i] || 0;
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}
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return sum;
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},
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max: function (frame) {
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var max = -Infinity;
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for (var i = 0; i < frame.length; i++) {
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frame[i] > max && (max = frame[i]);
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}
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// NaN will cause illegal axis extent.
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return isFinite(max) ? max : NaN;
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},
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min: function (frame) {
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var min = Infinity;
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for (var i = 0; i < frame.length; i++) {
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frame[i] < min && (min = frame[i]);
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}
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// NaN will cause illegal axis extent.
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return isFinite(min) ? min : NaN;
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},
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minmax: function (frame) {
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var turningPointAbsoluteValue = -Infinity;
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var turningPointOriginalValue = -Infinity;
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for (var i = 0; i < frame.length; i++) {
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var originalValue = frame[i];
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var absoluteValue = Math.abs(originalValue);
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if (absoluteValue > turningPointAbsoluteValue) {
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turningPointAbsoluteValue = absoluteValue;
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turningPointOriginalValue = originalValue;
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}
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}
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return isFinite(turningPointOriginalValue) ? turningPointOriginalValue : NaN;
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},
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// TODO
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// Median
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nearest: function (frame) {
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return frame[0];
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}
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};
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var indexSampler = function (frame) {
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return Math.round(frame.length / 2);
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};
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export default function dataSample(seriesType) {
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return {
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seriesType: seriesType,
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// FIXME:TS never used, so comment it
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// modifyOutputEnd: true,
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reset: function (seriesModel, ecModel, api) {
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var data = seriesModel.getData();
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var sampling = seriesModel.get('sampling');
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var coordSys = seriesModel.coordinateSystem;
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var count = data.count();
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// Only cartesian2d support down sampling. Disable it when there is few data.
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if (count > 10 && coordSys.type === 'cartesian2d' && sampling) {
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var baseAxis = coordSys.getBaseAxis();
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var valueAxis = coordSys.getOtherAxis(baseAxis);
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var extent = baseAxis.getExtent();
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var dpr = api.getDevicePixelRatio();
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// Coordinste system has been resized
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var size = Math.abs(extent[1] - extent[0]) * (dpr || 1);
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var rate = Math.round(count / size);
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if (isFinite(rate) && rate > 1) {
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if (sampling === 'lttb') {
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seriesModel.setData(data.lttbDownSample(data.mapDimension(valueAxis.dim), 1 / rate));
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}
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var sampler = void 0;
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if (isString(sampling)) {
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sampler = samplers[sampling];
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} else if (isFunction(sampling)) {
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sampler = sampling;
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}
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if (sampler) {
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// Only support sample the first dim mapped from value axis.
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seriesModel.setData(data.downSample(data.mapDimension(valueAxis.dim), 1 / rate, sampler, indexSampler));
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}
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}
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}
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}
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};
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} |