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source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionLineChartView.cs @ 14185

Last change on this file since 14185 was 14185, checked in by swagner, 8 years ago

#2526: Updated year of copyrights in license headers
File size: 14.6 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21using System;
22using System.Collections.Generic;
23using System.Drawing;
24using System.Linq;
25using System.Windows.Forms;
26using System.Windows.Forms.DataVisualization.Charting;
27using HeuristicLab.MainForm;
28using HeuristicLab.Visualization.ChartControlsExtensions;
29
30namespace HeuristicLab.Problems.DataAnalysis.Views {
31  [View("Line Chart")]
32  [Content(typeof(IRegressionSolution))]
33  public partial class RegressionSolutionLineChartView : DataAnalysisSolutionEvaluationView {
34    private const string TARGETVARIABLE_SERIES_NAME = "Target Variable";
35    private const string ESTIMATEDVALUES_TRAINING_SERIES_NAME = "Estimated Values (training)";
36    private const string ESTIMATEDVALUES_TEST_SERIES_NAME = "Estimated Values (test)";
37    private const string ESTIMATEDVALUES_ALL_SERIES_NAME = "Estimated Values (all samples)";
38
39    public new IRegressionSolution Content {
40      get { return (IRegressionSolution)base.Content; }
41      set { base.Content = value; }
42    }
43
44    public RegressionSolutionLineChartView()
45      : base() {
46      InitializeComponent();
47      //configure axis
48      this.chart.CustomizeAllChartAreas();
49      this.chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
50      this.chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
51      this.chart.ChartAreas[0].AxisX.IsStartedFromZero = true;
52      this.chart.ChartAreas[0].CursorX.Interval = 1;
53
54      this.chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
55      this.chart.ChartAreas[0].AxisY.ScaleView.Zoomable = true;
56      this.chart.ChartAreas[0].CursorY.Interval = 0;
57    }
58
59    private void RedrawChart() {
60      this.chart.Series.Clear();
61      if (Content != null) {
62        this.chart.ChartAreas[0].AxisX.Minimum = 0;
63        this.chart.ChartAreas[0].AxisX.Maximum = Content.ProblemData.Dataset.Rows - 1;
64
65        this.chart.Series.Add(TARGETVARIABLE_SERIES_NAME);
66        this.chart.Series[TARGETVARIABLE_SERIES_NAME].LegendText = Content.ProblemData.TargetVariable;
67        this.chart.Series[TARGETVARIABLE_SERIES_NAME].ChartType = SeriesChartType.FastLine;
68        this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.DataBindXY(Enumerable.Range(0, Content.ProblemData.Dataset.Rows).ToArray(),
69          Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToArray());
70        // training series
71        this.chart.Series.Add(ESTIMATEDVALUES_TRAINING_SERIES_NAME);
72        this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].LegendText = ESTIMATEDVALUES_TRAINING_SERIES_NAME;
73        this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].ChartType = SeriesChartType.FastLine;
74        this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].EmptyPointStyle.Color = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Color;
75        this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.DataBindXY(Content.ProblemData.TrainingIndices.ToArray(), Content.EstimatedTrainingValues.ToArray());
76        this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME]);
77        this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Tag = Content;
78        // test series
79        this.chart.Series.Add(ESTIMATEDVALUES_TEST_SERIES_NAME);
80        this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].LegendText = ESTIMATEDVALUES_TEST_SERIES_NAME;
81        this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].ChartType = SeriesChartType.FastLine;
82        this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Points.DataBindXY(Content.ProblemData.TestIndices.ToArray(), Content.EstimatedTestValues.ToArray());
83        this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME]);
84        this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Tag = Content;
85        // series of remaining points
86        int[] allIndices = Enumerable.Range(0, Content.ProblemData.Dataset.Rows).Except(Content.ProblemData.TrainingIndices).Except(Content.ProblemData.TestIndices).ToArray();
87        var estimatedValues = Content.EstimatedValues.ToArray();
88        List<double> allEstimatedValues = allIndices.Select(index => estimatedValues[index]).ToList();
89        this.chart.Series.Add(ESTIMATEDVALUES_ALL_SERIES_NAME);
90        this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].LegendText = ESTIMATEDVALUES_ALL_SERIES_NAME;
91        this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].ChartType = SeriesChartType.FastLine;
92        if (allEstimatedValues.Count > 0) {
93          this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Points.DataBindXY(allIndices, allEstimatedValues);
94          this.InsertEmptyPoints(this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME]);
95        }
96        this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Tag = Content;
97        this.ToggleSeriesData(this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME]);
98
99        // set the y-axis bounds
100        var axisY = this.chart.ChartAreas[0].AxisY;
101        double min = double.MaxValue, max = double.MinValue;
102        foreach (var point in chart.Series.SelectMany(x => x.Points)) {
103          if (!point.YValues.Any() || double.IsInfinity(point.YValues[0]) || double.IsNaN(point.YValues[0]))
104            continue;
105          var y = point.YValues[0];
106          if (y < min)
107            min = y;
108          if (y > max)
109            max = y;
110        }
111
112        double axisMin, axisMax, axisInterval;
113        ChartUtil.CalculateOptimalAxisInterval(min, max, out axisMin, out axisMax, out axisInterval);
114        axisY.Minimum = axisMin;
115        axisY.Maximum = axisMax;
116        axisY.Interval = axisInterval;
117
118        UpdateCursorInterval();
119        this.UpdateStripLines();
120      }
121    }
122
123    private void InsertEmptyPoints(Series series) {
124      int i = 0;
125      while (i < series.Points.Count - 1) {
126        if (series.Points[i].IsEmpty) {
127          ++i;
128          continue;
129        }
130
131        var p1 = series.Points[i];
132        var p2 = series.Points[i + 1];
133        // check for consecutive indices
134        if ((int)p2.XValue - (int)p1.XValue != 1) {
135          // insert an empty point between p1 and p2 so that the line will be invisible (transparent)
136          var p = new DataPoint((int)((p1.XValue + p2.XValue) / 2), 0.0) { IsEmpty = true };
137          series.Points.Insert(i + 1, p);
138        }
139        ++i;
140      }
141    }
142
143    private void UpdateCursorInterval() {
144      var estimatedValues = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.Select(x => x.YValues[0]).DefaultIfEmpty(1.0);
145      var targetValues = this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.Select(x => x.YValues[0]).DefaultIfEmpty(1.0);
146      double estimatedValuesRange = estimatedValues.Max() - estimatedValues.Min();
147      double targetValuesRange = targetValues.Max() - targetValues.Min();
148      double interestingValuesRange = Math.Min(Math.Max(targetValuesRange, 1.0), Math.Max(estimatedValuesRange, 1.0));
149      double digits = (int)Math.Log10(interestingValuesRange) - 3;
150      double yZoomInterval = Math.Max(Math.Pow(10, digits), 10E-5);
151      this.chart.ChartAreas[0].CursorY.Interval = yZoomInterval;
152    }
153
154    #region events
155    protected override void RegisterContentEvents() {
156      base.RegisterContentEvents();
157      Content.ModelChanged += new EventHandler(Content_ModelChanged);
158      Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
159    }
160    protected override void DeregisterContentEvents() {
161      base.DeregisterContentEvents();
162      Content.ModelChanged -= new EventHandler(Content_ModelChanged);
163      Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
164    }
165
166    protected override void OnContentChanged() {
167      base.OnContentChanged();
168      RedrawChart();
169    }
170    private void Content_ProblemDataChanged(object sender, EventArgs e) {
171      RedrawChart();
172    }
173    private void Content_ModelChanged(object sender, EventArgs e) {
174      RedrawChart();
175    }
176
177
178
179    private void Chart_MouseDoubleClick(object sender, MouseEventArgs e) {
180      HitTestResult result = chart.HitTest(e.X, e.Y);
181      if (result.ChartArea != null && (result.ChartElementType == ChartElementType.PlottingArea ||
182                                       result.ChartElementType == ChartElementType.Gridlines) ||
183                                       result.ChartElementType == ChartElementType.StripLines) {
184        foreach (var axis in result.ChartArea.Axes)
185          axis.ScaleView.ZoomReset(int.MaxValue);
186      }
187    }
188    #endregion
189
190    private void UpdateStripLines() {
191      this.chart.ChartAreas[0].AxisX.StripLines.Clear();
192
193      int[] attr = new int[Content.ProblemData.Dataset.Rows + 1]; // add a virtual last row that is again empty to simplify loop further down
194      foreach (var row in Content.ProblemData.TrainingIndices) {
195        attr[row] += 1;
196      }
197      foreach (var row in Content.ProblemData.TestIndices) {
198        attr[row] += 2;
199      }
200      int start = 0;
201      int curAttr = attr[start];
202      for (int row = 0; row < attr.Length; row++) {
203        if (attr[row] != curAttr) {
204          switch (curAttr) {
205            case 0: break;
206            case 1:
207              this.CreateAndAddStripLine("Training", start, row, Color.FromArgb(40, Color.Green), Color.Transparent);
208              break;
209            case 2:
210              this.CreateAndAddStripLine("Test", start, row, Color.FromArgb(40, Color.Red), Color.Transparent);
211              break;
212            case 3:
213              this.CreateAndAddStripLine("Training and Test", start, row, Color.FromArgb(40, Color.Green), Color.FromArgb(40, Color.Red), ChartHatchStyle.WideUpwardDiagonal);
214              break;
215            default:
216              // should not happen
217              break;
218          }
219          curAttr = attr[row];
220          start = row;
221        }
222      }
223    }
224
225    private void CreateAndAddStripLine(string title, int start, int end, Color color, Color secondColor, ChartHatchStyle hatchStyle = ChartHatchStyle.None) {
226      StripLine stripLine = new StripLine();
227      stripLine.BackColor = color;
228      stripLine.BackSecondaryColor = secondColor;
229      stripLine.BackHatchStyle = hatchStyle;
230      stripLine.Text = title;
231      stripLine.Font = new Font("Times New Roman", 12, FontStyle.Bold);
232      // strip range is [start .. end] inclusive, but we evaluate [start..end[ (end is exclusive)
233      // the strip should be by one longer (starting at start - 0.5 and ending at end + 0.5)
234      stripLine.StripWidth = end - start;
235      stripLine.IntervalOffset = start - 0.5; // start slightly to the left of the first point to clearly indicate the first point in the partition
236      this.chart.ChartAreas[0].AxisX.StripLines.Add(stripLine);
237    }
238
239    private void ToggleSeriesData(Series series) {
240      if (series.Points.Count > 0) {  //checks if series is shown
241        if (this.chart.Series.Any(s => s != series && s.Points.Count > 0)) {
242          ClearPointsQuick(series.Points);
243        }
244      } else if (Content != null) {
245        string targetVariableName = Content.ProblemData.TargetVariable;
246
247        IEnumerable<int> indices = null;
248        double[] predictedValues = null;
249        switch (series.Name) {
250          case ESTIMATEDVALUES_ALL_SERIES_NAME:
251            indices = Enumerable.Range(0, Content.ProblemData.Dataset.Rows).Except(Content.ProblemData.TrainingIndices).Except(Content.ProblemData.TestIndices).ToArray();
252            var estimatedValues = Content.EstimatedValues.ToArray();
253            predictedValues = indices.Select(index => estimatedValues[index]).ToArray();
254            break;
255          case ESTIMATEDVALUES_TRAINING_SERIES_NAME:
256            indices = Content.ProblemData.TrainingIndices.ToArray();
257            predictedValues = Content.EstimatedTrainingValues.ToArray();
258            break;
259          case ESTIMATEDVALUES_TEST_SERIES_NAME:
260            indices = Content.ProblemData.TestIndices.ToArray();
261            predictedValues = Content.EstimatedTestValues.ToArray();
262            break;
263        }
264        if (predictedValues.Length > 0) {
265          series.Points.DataBindXY(indices, predictedValues);
266          this.InsertEmptyPoints(series);
267        }
268        chart.Legends[series.Legend].ForeColor = Color.Black;
269        UpdateCursorInterval();
270        chart.Refresh();
271      }
272    }
273
274    // workaround as per http://stackoverflow.com/questions/5744930/datapointcollection-clear-performance
275    private static void ClearPointsQuick(DataPointCollection points) {
276      points.SuspendUpdates();
277      while (points.Count > 0)
278        points.RemoveAt(points.Count - 1);
279      points.ResumeUpdates();
280    }
281
282    private void chart_MouseMove(object sender, MouseEventArgs e) {
283      HitTestResult result = chart.HitTest(e.X, e.Y);
284      if (result.ChartElementType == ChartElementType.LegendItem && result.Series.Name != TARGETVARIABLE_SERIES_NAME)
285        Cursor = Cursors.Hand;
286      else
287        Cursor = Cursors.Default;
288    }
289    private void chart_MouseDown(object sender, MouseEventArgs e) {
290      HitTestResult result = chart.HitTest(e.X, e.Y);
291      if (result.ChartElementType == ChartElementType.LegendItem && result.Series.Name != TARGETVARIABLE_SERIES_NAME) {
292        ToggleSeriesData(result.Series);
293      }
294    }
295
296    private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
297      if (chart.Series.Count != 4) return;
298      e.LegendItems[0].Cells[1].ForeColor = this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
299      e.LegendItems[1].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
300      e.LegendItems[2].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
301      e.LegendItems[3].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
302    }
303  }
304}
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