#region License Information /* HeuristicLab * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System.Collections.Generic; using System.Linq; using System.Windows.Forms; namespace HeuristicLab.Problems.DataAnalysis.Views { public partial class DensityChart : UserControl { public DensityChart() { InitializeComponent(); } public void UpdateChart(IList data, double minimumHeight = 0.1) { if (data == null || !data.Any()) return; UpdateChartWithBuckets(CalculateBuckets(data)); } public void UpdateChart(IList data, double min, double max, int numBuckets, double minimumHeight = 0.1) { if (data == null || numBuckets < 0 || min > max || max < min) return; UpdateChartWithBuckets(CalculateBuckets(data, numBuckets, min, max)); } private void UpdateChartWithBuckets(double[] buckets) { // set minimum height of all non-zero buckets on 10% of maximum double minHeight = buckets.Max() * 0.1; for (int i = 0; i < buckets.Length; i++) { if (buckets[i] >= 1 && buckets[i] < minHeight) buckets[i] = minHeight; } var points = chart.Series[0].Points; if (points.Count == buckets.Length) { for (int i = 0; i < buckets.Length; i++) points[i].SetValueY(buckets[i]); chart.ChartAreas[0].RecalculateAxesScale(); chart.Refresh(); } else { chart.Series[0].Points.DataBindY(buckets); } } private double[] CalculateBuckets(IList data, int numBuckets, double min, double max) { var buckets = new double[numBuckets]; var bucketSize = (max - min) / numBuckets; if (bucketSize > 0.0) { for (int i = 0; i < data.Count; i++) { int bucketIndex = (int)((data[i] - min) / bucketSize); if (bucketIndex == numBuckets) { bucketIndex--; } if (bucketIndex >= 0 && bucketIndex < buckets.Length) buckets[bucketIndex] += 1.0; } } return buckets; } private double[] CalculateBuckets(IList data) { return data.GroupBy(val => val).OrderBy(g => g.Key).Select(g => (double)g.Count()).Concat(new double[] { 0.0 }).ToArray(); } } }