1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 | using System;
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22 | using System.Collections;
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23 | using System.Collections.Generic;
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24 | using System.Drawing;
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25 | using System.Globalization;
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26 | using System.Linq;
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27 | using System.Windows.Forms;
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28 | using System.Windows.Forms.DataVisualization.Charting;
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29 | using HeuristicLab.Common;
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30 | using HeuristicLab.MainForm;
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31 | using HeuristicLab.Visualization.ChartControlsExtensions;
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32 |
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33 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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34 | [View("Line Chart")]
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35 | [Content(typeof(IRegressionSolution))]
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36 | public abstract partial class RegressionSolutionLineChartViewBase : DataAnalysisSolutionEvaluationView {
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37 | protected const string TARGETVARIABLE_SERIES_NAME = "Target Variable";
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38 | protected const string ESTIMATEDVALUES_TRAINING_SERIES_NAME = "Estimated Values (training)";
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39 | protected const string ESTIMATEDVALUES_TEST_SERIES_NAME = "Estimated Values (test)";
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40 | protected const string ESTIMATEDVALUES_ALL_SERIES_NAME = "Estimated Values (all samples)";
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41 |
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42 | public new IRegressionSolution Content {
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43 | get { return (IRegressionSolution)base.Content; }
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44 | set { base.Content = value; }
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45 | }
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46 |
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47 | protected RegressionSolutionLineChartViewBase()
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48 | : base() {
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49 | InitializeComponent();
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50 | //configure axis
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51 | this.chart.CustomizeAllChartAreas();
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52 | this.chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
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53 | this.chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
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54 | this.chart.ChartAreas[0].AxisX.IsStartedFromZero = true;
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55 | this.chart.ChartAreas[0].CursorX.Interval = 1;
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56 |
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57 | this.chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
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58 | this.chart.ChartAreas[0].AxisY.ScaleView.Zoomable = true;
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59 | this.chart.ChartAreas[0].CursorY.Interval = 0;
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60 | }
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61 |
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62 | protected abstract void GetTrainingSeries(out int[] idx, out double[] y);
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63 |
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64 | protected abstract void GetTestSeries(out int[] idx, out double[] y);
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65 |
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66 | protected abstract void GetAllValuesSeries(out int[] idx, out double[] y);
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67 |
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68 | protected virtual void RedrawChart() {
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69 | this.chart.Series.Clear();
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70 | if (Content != null) {
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71 | var allIds = Content.ProblemData.AllIds;
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72 | this.chart.ChartAreas[0].AxisX.Minimum = 0;
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73 | this.chart.ChartAreas[0].AxisX.Maximum = Content.ProblemData.AllIndices.Last();
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74 |
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75 | this.chart.Series.Add(TARGETVARIABLE_SERIES_NAME);
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76 | this.chart.Series[TARGETVARIABLE_SERIES_NAME].LegendText = TARGETVARIABLE_SERIES_NAME;
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77 | this.chart.Series[TARGETVARIABLE_SERIES_NAME].ChartType = SeriesChartType.FastLine;
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78 | var ids = Content.ProblemData.AllIds.OfType<object>().Select(o => o.ToString()).ToArray();
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79 | var vals = Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToArray();
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80 |
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81 | for (int i = 0; i < ids.Length; i++) {
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82 | chart.Series[TARGETVARIABLE_SERIES_NAME].Points.Add(new DataPoint() { AxisLabel = ids[i], XValue = i, YValues = new double[] { vals[i] } });
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83 | }
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84 | // this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.DataBindXY(Content.ProblemData.AllIndices.ToArray(),
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85 | // Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToArray());
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86 | // chart.Series[TARGETVARIABLE_SERIES_NAME].Points.DataBindXY(Content.ProblemData.AllIndices.ToArray(),
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87 | // "AxisLabel", Content.ProblemData.AllIds.OfType<object>().Select(o => o.ToString()).ToArray(), string.Empty);
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88 | // training series
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89 | this.chart.Series.Add(ESTIMATEDVALUES_TRAINING_SERIES_NAME);
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90 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].LegendText = ESTIMATEDVALUES_TRAINING_SERIES_NAME;
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91 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].ChartType = SeriesChartType.FastLine;
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92 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].EmptyPointStyle.Color = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Color;
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93 | int[] trainingIdx;
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94 | double[] trainingY;
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95 | GetTrainingSeries(out trainingIdx, out trainingY);
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96 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.DataBindXY(trainingIdx, trainingY);
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97 | this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME]);
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98 | this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Tag = Content;
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99 |
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100 | // test series
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101 | this.chart.Series.Add(ESTIMATEDVALUES_TEST_SERIES_NAME);
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102 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].LegendText = ESTIMATEDVALUES_TEST_SERIES_NAME;
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103 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].ChartType = SeriesChartType.FastLine;
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104 | int[] testIdx;
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105 | double[] testY;
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106 | GetTestSeries(out testIdx, out testY);
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107 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Points.DataBindXY(testIdx, testY);
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108 | this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME]);
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109 | this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Tag = Content;
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110 |
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111 | // series of remaining points
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112 | int[] allIdx;
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113 | double[] allEstimatedValues;
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114 | GetAllValuesSeries(out allIdx, out allEstimatedValues);
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115 |
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116 | this.chart.Series.Add(ESTIMATEDVALUES_ALL_SERIES_NAME);
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117 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].LegendText = ESTIMATEDVALUES_ALL_SERIES_NAME;
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118 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].ChartType = SeriesChartType.FastLine;
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119 | if (allEstimatedValues.Length > 0) {
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120 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Points.DataBindXY(allIdx, allEstimatedValues);
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121 | this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME]);
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122 | }
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123 | this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Tag = Content;
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124 | this.ToggleSeriesData(this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME]);
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125 |
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126 | // set the y-axis
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127 | var axisY = this.chart.ChartAreas[0].AxisY;
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128 | axisY.Title = Content.ProblemData.TargetVariable;
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129 | double min = double.MaxValue, max = double.MinValue;
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130 | foreach (var point in chart.Series.SelectMany(x => x.Points)) {
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131 | if (!point.YValues.Any() || double.IsInfinity(point.YValues[0]) || double.IsNaN(point.YValues[0]))
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132 | continue;
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133 | var y = point.YValues[0];
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134 | if (y < min)
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135 | min = y;
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136 | if (y > max)
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137 | max = y;
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138 | }
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139 |
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140 | double axisMin, axisMax, axisInterval;
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141 | ChartUtil.CalculateOptimalAxisInterval(min, max, out axisMin, out axisMax, out axisInterval);
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142 | axisY.Minimum = axisMin;
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143 | axisY.Maximum = axisMax;
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144 | axisY.Interval = axisInterval;
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145 |
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146 | UpdateCursorInterval();
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147 | UpdateStripLines();
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148 | }
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149 | }
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150 |
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151 | private void InsertEmptyPoints(Series series) {
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152 | int i = 0;
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153 | while (i < series.Points.Count - 1) {
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154 | if (series.Points[i].IsEmpty) {
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155 | ++i;
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156 | continue;
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157 | }
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158 |
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159 | var p1 = series.Points[i];
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160 | var p2 = series.Points[i + 1];
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161 | // check for consecutive indices
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162 | if ((int)p2.XValue - (int)p1.XValue != 1) {
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163 | // insert an empty point between p1 and p2 so that the line will be invisible (transparent)
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164 | var p = new DataPoint((int)((p1.XValue + p2.XValue) / 2), 0.0) { IsEmpty = true };
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165 | series.Points.Insert(i + 1, p);
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166 | }
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167 | ++i;
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168 | }
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169 | }
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170 |
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171 | private void UpdateCursorInterval() {
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172 | var estimatedValues = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.Select(x => x.YValues[0]).DefaultIfEmpty(1.0);
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173 | var targetValues = this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.Select(x => x.YValues[0]).DefaultIfEmpty(1.0);
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174 | double estimatedValuesRange = estimatedValues.Max() - estimatedValues.Min();
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175 | double targetValuesRange = targetValues.Max() - targetValues.Min();
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176 | double interestingValuesRange = Math.Min(Math.Max(targetValuesRange, 1.0), Math.Max(estimatedValuesRange, 1.0));
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177 | double digits = (int)Math.Log10(interestingValuesRange) - 3;
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178 | double yZoomInterval = Math.Max(Math.Pow(10, digits), 10E-5);
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179 | this.chart.ChartAreas[0].CursorY.Interval = yZoomInterval;
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180 | }
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181 |
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182 | #region events
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183 | protected override void RegisterContentEvents() {
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184 | base.RegisterContentEvents();
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185 | Content.ModelChanged += new EventHandler(Content_ModelChanged);
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186 | Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
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187 | }
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188 | protected override void DeregisterContentEvents() {
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189 | base.DeregisterContentEvents();
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190 | Content.ModelChanged -= new EventHandler(Content_ModelChanged);
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191 | Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
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192 | }
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193 |
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194 | protected override void OnContentChanged() {
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195 | base.OnContentChanged();
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196 | RedrawChart();
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197 | }
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198 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
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199 | RedrawChart();
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200 | }
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201 | private void Content_ModelChanged(object sender, EventArgs e) {
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202 | RedrawChart();
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203 | }
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204 |
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205 |
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206 |
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207 | private void Chart_MouseDoubleClick(object sender, MouseEventArgs e) {
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208 | HitTestResult result = chart.HitTest(e.X, e.Y);
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209 | if (result.ChartArea != null && (result.ChartElementType == ChartElementType.PlottingArea ||
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210 | result.ChartElementType == ChartElementType.Gridlines) ||
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211 | result.ChartElementType == ChartElementType.StripLines) {
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212 | foreach (var axis in result.ChartArea.Axes)
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213 | axis.ScaleView.ZoomReset(int.MaxValue);
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214 | }
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215 | }
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216 | #endregion
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217 |
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218 | private void UpdateStripLines() {
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219 | this.chart.ChartAreas[0].AxisX.StripLines.Clear();
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220 |
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221 | int[] attr = new int[Content.ProblemData.Dataset.Rows + 1]; // add a virtual last row that is again empty to simplify loop further down
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222 | foreach (var row in Content.ProblemData.TrainingIndices) {
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223 | attr[row] += 1;
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224 | }
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225 | foreach (var row in Content.ProblemData.TestIndices) {
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226 | attr[row] += 2;
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227 | }
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228 | int start = 0;
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229 | int curAttr = attr[start];
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230 | for (int row = 0; row < attr.Length; row++) {
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231 | if (attr[row] != curAttr) {
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232 | switch (curAttr) {
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233 | case 0: break;
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234 | case 1:
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235 | this.CreateAndAddStripLine("Training", start, row, Color.FromArgb(40, Color.Green), Color.Transparent);
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236 | break;
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237 | case 2:
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238 | this.CreateAndAddStripLine("Test", start, row, Color.FromArgb(40, Color.Red), Color.Transparent);
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239 | break;
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240 | case 3:
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241 | this.CreateAndAddStripLine("Training and Test", start, row, Color.FromArgb(40, Color.Green), Color.FromArgb(40, Color.Red), ChartHatchStyle.WideUpwardDiagonal);
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242 | break;
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243 | default:
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244 | // should not happen
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245 | break;
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246 | }
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247 | curAttr = attr[row];
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248 | start = row;
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249 | }
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250 | }
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251 | }
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252 |
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253 | private void CreateAndAddStripLine(string title, int start, int end, Color color, Color secondColor, ChartHatchStyle hatchStyle = ChartHatchStyle.None) {
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254 | StripLine stripLine = new StripLine();
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255 | stripLine.BackColor = color;
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256 | stripLine.BackSecondaryColor = secondColor;
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257 | stripLine.BackHatchStyle = hatchStyle;
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258 | stripLine.Text = title;
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259 | stripLine.Font = new Font("Times New Roman", 12, FontStyle.Bold);
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260 | // strip range is [start .. end] inclusive, but we evaluate [start..end[ (end is exclusive)
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261 | // the strip should be by one longer (starting at start - 0.5 and ending at end + 0.5)
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262 | stripLine.StripWidth = end - start;
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263 | stripLine.IntervalOffset = start - 0.5; // start slightly to the left of the first point to clearly indicate the first point in the partition
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264 | this.chart.ChartAreas[0].AxisX.StripLines.Add(stripLine);
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265 | }
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266 |
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267 | public void ToggleSeriesData(Series series) {
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268 | if (series.Points.Count > 0) { //checks if series is shown
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269 | if (this.chart.Series.Any(s => s != series && s.Points.Count > 0)) {
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270 | ClearPointsQuick(series.Points);
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271 | }
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272 | } else if (Content != null) {
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273 |
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274 | int[] indices = null;
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275 | double[] predictedValues = null;
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276 | switch (series.Name) {
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277 | case ESTIMATEDVALUES_ALL_SERIES_NAME:
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278 | GetAllValuesSeries(out indices, out predictedValues);
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279 | break;
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280 | case ESTIMATEDVALUES_TRAINING_SERIES_NAME:
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281 | GetTrainingSeries(out indices, out predictedValues);
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282 | break;
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283 | case ESTIMATEDVALUES_TEST_SERIES_NAME:
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284 | GetTestSeries(out indices, out predictedValues);
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285 | break;
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286 | }
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287 | if (predictedValues.Length > 0) {
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288 | series.Points.DataBindXY(indices, predictedValues);
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289 | this.InsertEmptyPoints(series);
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290 | }
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291 | chart.Legends[series.Legend].ForeColor = Color.Black;
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292 | UpdateCursorInterval();
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293 | chart.Refresh();
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294 | }
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295 | }
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296 |
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297 | // workaround as per http://stackoverflow.com/questions/5744930/datapointcollection-clear-performance
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298 | private static void ClearPointsQuick(DataPointCollection points) {
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299 | points.SuspendUpdates();
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300 | while (points.Count > 0)
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301 | points.RemoveAt(points.Count - 1);
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302 | points.ResumeUpdates();
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303 | }
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304 |
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305 | private void chart_MouseMove(object sender, MouseEventArgs e) {
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306 | HitTestResult result = chart.HitTest(e.X, e.Y);
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307 | if (result.ChartElementType == ChartElementType.LegendItem && result.Series.Name != TARGETVARIABLE_SERIES_NAME)
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308 | Cursor = Cursors.Hand;
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309 | else
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310 | Cursor = Cursors.Default;
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311 | }
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312 | private void chart_MouseDown(object sender, MouseEventArgs e) {
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313 | HitTestResult result = chart.HitTest(e.X, e.Y);
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314 | if (result.ChartElementType == ChartElementType.LegendItem && result.Series.Name != TARGETVARIABLE_SERIES_NAME) {
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315 | ToggleSeriesData(result.Series);
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316 | }
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317 | }
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318 |
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319 | private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
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320 | if (chart.Series.Count != 4) return;
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321 | e.LegendItems[0].Cells[1].ForeColor = this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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322 | e.LegendItems[1].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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323 | e.LegendItems[2].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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324 | e.LegendItems[3].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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325 | }
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326 | }
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327 | }
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