| /* |
| * 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. |
| */ |
| 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; |
| }, |
| // TODO |
| // Median |
| nearest: function (frame) { |
| return frame[0]; |
| } |
| }; |
| |
| var indexSampler = function (frame, value) { |
| return Math.round(frame.length / 2); |
| }; |
| |
| export default function (seriesType) { |
| return { |
| seriesType: seriesType, |
| modifyOutputEnd: true, |
| reset: function (seriesModel, ecModel, api) { |
| var data = seriesModel.getData(); |
| var sampling = seriesModel.get('sampling'); |
| var coordSys = seriesModel.coordinateSystem; // Only cartesian2d support down sampling |
| |
| if (coordSys.type === 'cartesian2d' && sampling) { |
| var baseAxis = coordSys.getBaseAxis(); |
| var valueAxis = coordSys.getOtherAxis(baseAxis); |
| var extent = baseAxis.getExtent(); // Coordinste system has been resized |
| |
| var size = extent[1] - extent[0]; |
| var rate = Math.round(data.count() / size); |
| |
| if (rate > 1) { |
| var sampler; |
| |
| if (typeof sampling === 'string') { |
| sampler = samplers[sampling]; |
| } else if (typeof sampling === 'function') { |
| 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)); |
| } |
| } |
| } |
| } |
| }; |
| } |