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source: branches/ParameterBinding/HeuristicLab.Problems.DataAnalysis.Views/3.3/ScatterPlotView.cs @ 9286

Last change on this file since 9286 was 4651, checked in by mkommend, 14 years ago

Integrated EnhancedChart in all GP specific views (ticket #1228).

File size: 9.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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.MainForm.WindowsForms;
29
30namespace HeuristicLab.Problems.DataAnalysis.Views {
31  [View("Scatter Plot View")]
32  [Content(typeof(DataAnalysisSolution), true)]
33  public partial class ScatterPlotView : AsynchronousContentView {
34    private const string ALL_SERIES = "All Samples";
35    private const string TRAINING_SERIES = "Training Samples";
36    private const string TEST_SERIES = "Test Samples";
37
38    public new DataAnalysisSolution Content {
39      get { return (DataAnalysisSolution)base.Content; }
40      set { base.Content = value; }
41    }
42
43    public ScatterPlotView()
44      : base() {
45      InitializeComponent();
46
47      this.chart.Series.Add(ALL_SERIES);
48      this.chart.Series[ALL_SERIES].LegendText = ALL_SERIES;
49      this.chart.Series[ALL_SERIES].ChartType = SeriesChartType.FastPoint;
50
51      this.chart.Series.Add(TRAINING_SERIES);
52      this.chart.Series[TRAINING_SERIES].LegendText = TRAINING_SERIES;
53      this.chart.Series[TRAINING_SERIES].ChartType = SeriesChartType.FastPoint;
54      this.chart.Series[TRAINING_SERIES].Points.Add(1.0);
55
56      this.chart.Series.Add(TEST_SERIES);
57      this.chart.Series[TEST_SERIES].LegendText = TEST_SERIES;
58      this.chart.Series[TEST_SERIES].ChartType = SeriesChartType.FastPoint;
59
60      this.chart.TextAntiAliasingQuality = TextAntiAliasingQuality.High;
61      this.chart.AxisViewChanged += new EventHandler<System.Windows.Forms.DataVisualization.Charting.ViewEventArgs>(chart_AxisViewChanged);
62
63      //configure axis
64      this.chart.CustomizeAllChartAreas();
65      this.chart.ChartAreas[0].AxisX.Title = "Estimated Values";
66      this.chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
67      this.chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
68      this.chart.ChartAreas[0].CursorX.Interval = 1;
69      this.chart.ChartAreas[0].CursorY.Interval = 1;
70
71      this.chart.ChartAreas[0].AxisY.Title = "Target Values";
72      this.chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
73      this.chart.ChartAreas[0].AxisY.ScaleView.Zoomable = true;
74      this.chart.ChartAreas[0].AxisY.IsStartedFromZero = true;
75    }
76
77    protected override void RegisterContentEvents() {
78      base.RegisterContentEvents();
79      Content.EstimatedValuesChanged += new EventHandler(Content_EstimatedValuesChanged);
80      Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
81    }
82    protected override void DeregisterContentEvents() {
83      base.DeregisterContentEvents();
84      Content.EstimatedValuesChanged -= new EventHandler(Content_EstimatedValuesChanged);
85      Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
86    }
87
88
89    private void Content_ProblemDataChanged(object sender, EventArgs e) {
90      UpdateChart();
91    }
92    private void Content_EstimatedValuesChanged(object sender, EventArgs e) {
93      UpdateSeries();
94    }
95
96    protected override void OnContentChanged() {
97      base.OnContentChanged();
98      UpdateChart();
99    }
100
101    private void UpdateChart() {
102      if (InvokeRequired) Invoke((Action)UpdateChart);
103      else {
104        if (Content != null) {
105          this.UpdateSeries();
106          if (!this.chart.Series.Any(s => s.Points.Count > 0))
107            this.ClearChart();
108        }
109      }
110    }
111
112    private void UpdateCursorInterval() {
113      var estimatedValues = this.chart.Series[ALL_SERIES].Points.Select(x => x.XValue).DefaultIfEmpty(1.0);
114      var targetValues = this.chart.Series[ALL_SERIES].Points.Select(x => x.YValues[0]).DefaultIfEmpty(1.0);
115      double estimatedValuesRange = estimatedValues.Max() - estimatedValues.Min();
116      double targetValuesRange = targetValues.Max() - targetValues.Min();
117      double interestingValuesRange = Math.Min(Math.Max(targetValuesRange, 1.0), Math.Max(estimatedValuesRange, 1.0));
118      double digits = (int)Math.Log10(interestingValuesRange) - 3;
119      double zoomInterval = Math.Max(Math.Pow(10, digits), 10E-5);
120      this.chart.ChartAreas[0].CursorX.Interval = zoomInterval;
121      this.chart.ChartAreas[0].CursorY.Interval = zoomInterval;
122    }
123
124
125    private void UpdateSeries() {
126      if (InvokeRequired) Invoke((Action)UpdateSeries);
127      else {
128        string targetVariableName = Content.ProblemData.TargetVariable.Value;
129        Dataset dataset = Content.ProblemData.Dataset;
130        if (this.chart.Series[ALL_SERIES].Points.Count > 0)
131          this.chart.Series[ALL_SERIES].Points.DataBindXY(Content.EstimatedValues.ToArray(), "",
132            dataset.GetVariableValues(targetVariableName), "");
133        if (this.chart.Series[TRAINING_SERIES].Points.Count > 0)
134          this.chart.Series[TRAINING_SERIES].Points.DataBindXY(Content.EstimatedTrainingValues.ToArray(), "",
135            dataset.GetEnumeratedVariableValues(targetVariableName, Content.ProblemData.TrainingIndizes).ToArray(), "");
136        if (this.chart.Series[TEST_SERIES].Points.Count > 0)
137          this.chart.Series[TEST_SERIES].Points.DataBindXY(Content.EstimatedTestValues.ToArray(), "",
138           dataset.GetEnumeratedVariableValues(targetVariableName, Content.ProblemData.TestIndizes).ToArray(), "");
139
140        double max = Math.Max(Content.EstimatedValues.Max(), dataset.GetVariableValues(targetVariableName).Max());
141        double min = Math.Min(Content.EstimatedValues.Min(), dataset.GetVariableValues(targetVariableName).Min());
142
143        max = Math.Ceiling(max) * 1.2;
144        min = Math.Floor(min) * 0.8;
145
146        this.chart.ChartAreas[0].AxisX.Maximum = max;
147        this.chart.ChartAreas[0].AxisX.Minimum = min;
148        this.chart.ChartAreas[0].AxisY.Maximum = max;
149        this.chart.ChartAreas[0].AxisY.Minimum = min;
150        UpdateCursorInterval();
151      }
152    }
153
154    private void ClearChart() {
155      this.chart.Series[ALL_SERIES].Points.Clear();
156      this.chart.Series[TRAINING_SERIES].Points.Clear();
157      this.chart.Series[TEST_SERIES].Points.Clear();
158    }
159
160    private void ToggleSeriesData(Series series) {
161      if (series.Points.Count > 0) {  //checks if series is shown
162        if (this.chart.Series.Any(s => s != series && s.Points.Count > 0)) {
163          series.Points.Clear();
164        }
165      } else if (Content != null) {
166        string targetVariableName = Content.ProblemData.TargetVariable.Value;
167
168        IEnumerable<double> predictedValues = null;
169        IEnumerable<double> targetValues = null;
170        switch (series.Name) {
171          case ALL_SERIES:
172            predictedValues = Content.EstimatedValues.ToArray();
173            targetValues = Content.ProblemData.Dataset.GetVariableValues(targetVariableName);
174            break;
175          case TRAINING_SERIES:
176            predictedValues = Content.EstimatedTrainingValues.ToArray();
177            targetValues = Content.ProblemData.Dataset.GetEnumeratedVariableValues(targetVariableName, Content.ProblemData.TrainingIndizes).ToArray();
178            break;
179          case TEST_SERIES:
180            predictedValues = Content.EstimatedTestValues.ToArray();
181            targetValues = Content.ProblemData.Dataset.GetEnumeratedVariableValues(targetVariableName, Content.ProblemData.TestIndizes).ToArray();
182            break;
183        }
184        series.Points.DataBindXY(predictedValues, "", targetValues, "");
185        this.chart.Legends[series.Legend].ForeColor = Color.Black;
186        UpdateCursorInterval();
187      }
188    }
189
190    private void chart_MouseDown(object sender, MouseEventArgs e) {
191      HitTestResult result = chart.HitTest(e.X, e.Y);
192      if (result.ChartElementType == ChartElementType.LegendItem) {
193        this.ToggleSeriesData(result.Series);
194      }
195    }
196
197    private void chart_MouseMove(object sender, MouseEventArgs e) {
198      HitTestResult result = chart.HitTest(e.X, e.Y);
199      if (result.ChartElementType == ChartElementType.LegendItem)
200        this.Cursor = Cursors.Hand;
201      else
202        this.Cursor = Cursors.Default;
203    }
204
205    private void chart_AxisViewChanged(object sender, System.Windows.Forms.DataVisualization.Charting.ViewEventArgs e) {
206      this.chart.ChartAreas[0].AxisX.ScaleView.Size = e.NewSize;
207      this.chart.ChartAreas[0].AxisY.ScaleView.Size = e.NewSize;
208    }
209
210    private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
211      e.LegendItems[0].Cells[1].ForeColor = this.chart.Series[ALL_SERIES].Points.Count == 0 ? Color.Gray : Color.Black;
212      e.LegendItems[1].Cells[1].ForeColor = this.chart.Series[TRAINING_SERIES].Points.Count == 0 ? Color.Gray : Color.Black;
213      e.LegendItems[2].Cells[1].ForeColor = this.chart.Series[TEST_SERIES].Points.Count == 0 ? Color.Gray : Color.Black;
214    }
215  }
216}
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