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source: branches/2521_ProblemRefactoring/HeuristicLab.DataPreprocessing.Views/3.4/ScatterPlotSingleView.cs @ 16692

Last change on this file since 16692 was 16692, checked in by abeham, 5 years ago

#2521: merged trunk changes up to r15681 into branch (removal of trunk/sources)

File size: 10.9 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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
21
22using System;
23using System.Collections.Generic;
24using System.Drawing;
25using System.Linq;
26using HeuristicLab.Analysis;
27using HeuristicLab.Common;
28using HeuristicLab.Core.Views;
29using HeuristicLab.MainForm;
30using RegressionType = HeuristicLab.Analysis.ScatterPlotDataRowVisualProperties.ScatterPlotDataRowRegressionType;
31
32namespace HeuristicLab.DataPreprocessing.Views {
33
34  [View("Scatter Plot Single View")]
35  [Content(typeof(SingleScatterPlotContent), true)]
36  public sealed partial class ScatterPlotSingleView : ItemView {
37    private readonly string NoGroupItem = "";
38
39    public new SingleScatterPlotContent Content {
40      get { return (SingleScatterPlotContent)base.Content; }
41      set { base.Content = value; }
42    }
43
44    public ScatterPlotSingleView() {
45      InitializeComponent();
46
47      regressionTypeComboBox.DataSource = Enum.GetValues(typeof(RegressionType));
48      regressionTypeComboBox.SelectedItem = RegressionType.None;
49      orderComboBox.DataSource = Enum.GetValues(typeof(PreprocessingChartContent.LegendOrder));
50      orderComboBox.SelectedItem = PreprocessingChartContent.LegendOrder.Alphabetically;
51    }
52
53    protected override void SetEnabledStateOfControls() {
54      base.SetEnabledStateOfControls();
55      useGradientCheckBox.Enabled = (string)comboBoxGroup.SelectedItem != NoGroupItem;
56      gradientPanel.Visible = useGradientCheckBox.Enabled && useGradientCheckBox.Checked; ;
57    }
58
59    protected override void OnContentChanged() {
60      base.OnContentChanged();
61      if (Content != null) {
62        InitData();
63      }
64    }
65
66    private void InitData() {
67      IEnumerable<string> variables = Content.PreprocessingData.GetDoubleVariableNames();
68
69      comboBoxXVariable.Items.Clear();
70      comboBoxYVariable.Items.Clear();
71      comboBoxGroup.Items.Clear();
72
73      comboBoxXVariable.Items.AddRange(variables.ToArray());
74      comboBoxYVariable.Items.AddRange(variables.ToArray());
75      comboBoxGroup.Items.Add(NoGroupItem);
76      foreach (string var in PreprocessingChartContent.GetVariableNamesForGrouping(Content.PreprocessingData, 50)) {
77        comboBoxGroup.Items.Add(var);
78      }
79      comboBoxGroup.SelectedItem = Content.GroupingVariable ?? NoGroupItem;
80
81      // use x and y variable from content
82      if (Content.SelectedXVariable != null && Content.SelectedYVariable != null && Content.GroupingVariable != null) {
83        comboBoxXVariable.SelectedItem = Content.SelectedXVariable;
84        comboBoxYVariable.SelectedItem = Content.SelectedYVariable;
85        comboBoxGroup.SelectedItem = Content.GroupingVariable;
86      } else {
87        if (variables.Count() >= 2) {
88          comboBoxXVariable.SelectedIndex = 0;
89          comboBoxYVariable.SelectedIndex = 1;
90          comboBoxGroup.SelectedIndex = 0;
91          UpdateScatterPlot();
92        }
93      }
94    }
95
96    private void UpdateScatterPlot() {
97      if (comboBoxXVariable.SelectedItem != null && comboBoxYVariable.SelectedItem != null && comboBoxGroup.SelectedItem != null) {
98        var xVariable = (string)comboBoxXVariable.SelectedItem;
99        var yVariable = (string)comboBoxYVariable.SelectedItem;
100        var groupVariable = (string)comboBoxGroup.SelectedItem;
101        var legendOrder = (PreprocessingChartContent.LegendOrder)orderComboBox.SelectedItem;
102
103        ScatterPlot scatterPlot = ScatterPlotContent.CreateScatterPlot(Content.PreprocessingData, xVariable, yVariable, groupVariable, legendOrder);
104        //rows are saved and removed to avoid firing of visual property changed events
105        var rows = scatterPlot.Rows.ToList();
106        scatterPlot.Rows.Clear();
107        var regressionType = (RegressionType)regressionTypeComboBox.SelectedValue;
108        int order = (int)polynomialRegressionOrderNumericUpDown.Value;
109        foreach (var row in rows) {
110          row.VisualProperties.PointSize = 6;
111          row.VisualProperties.IsRegressionVisibleInLegend = false;
112          row.VisualProperties.RegressionType = regressionType;
113          row.VisualProperties.PolynomialRegressionOrder = order;
114          row.VisualProperties.IsVisibleInLegend = !useGradientCheckBox.Checked;
115        }
116        scatterPlot.Rows.AddRange(rows);
117        var vp = scatterPlot.VisualProperties;
118        vp.Title = string.Empty;
119        vp.XAxisTitle = xVariable;
120        vp.YAxisTitle = yVariable;
121
122        scatterPlotView.Content = scatterPlot;
123
124        //save selected x and y variable in content
125        this.Content.SelectedXVariable = (string)comboBoxXVariable.SelectedItem;
126        this.Content.SelectedYVariable = (string)comboBoxYVariable.SelectedItem;
127        this.Content.GroupingVariable = (string)comboBoxGroup.SelectedItem;
128      }
129    }
130
131    private void comboBoxXVariable_SelectedIndexChanged(object sender, EventArgs e) {
132      var oldPlot = scatterPlotView.Content;
133      UpdateScatterPlot();
134      var newPlot = scatterPlotView.Content;
135
136      if (oldPlot == null || newPlot == null) return;
137      newPlot.VisualProperties.YAxisMinimumAuto = oldPlot.VisualProperties.YAxisMinimumAuto;
138      newPlot.VisualProperties.YAxisMaximumAuto = oldPlot.VisualProperties.YAxisMaximumAuto;
139      newPlot.VisualProperties.YAxisMinimumFixedValue = oldPlot.VisualProperties.YAxisMinimumFixedValue;
140      newPlot.VisualProperties.YAxisMaximumFixedValue = oldPlot.VisualProperties.YAxisMaximumFixedValue;
141
142      foreach (var x in newPlot.Rows.Zip(oldPlot.Rows, (nr, or) => new { nr, or })) {
143        var newVisuapProperties = (ScatterPlotDataRowVisualProperties)x.or.VisualProperties.Clone();
144        newVisuapProperties.DisplayName = x.nr.VisualProperties.DisplayName;
145        x.nr.VisualProperties = newVisuapProperties;
146      }
147    }
148
149    private void comboBoxYVariable_SelectedIndexChanged(object sender, EventArgs e) {
150      SuspendRepaint();
151      var oldPlot = scatterPlotView.Content;
152      UpdateScatterPlot();
153      var newPlot = scatterPlotView.Content;
154
155      if (oldPlot == null || newPlot == null) return;
156      newPlot.VisualProperties.XAxisMinimumAuto = oldPlot.VisualProperties.XAxisMinimumAuto;
157      newPlot.VisualProperties.XAxisMaximumAuto = oldPlot.VisualProperties.XAxisMaximumAuto;
158      newPlot.VisualProperties.XAxisMinimumFixedValue = oldPlot.VisualProperties.XAxisMinimumFixedValue;
159      newPlot.VisualProperties.XAxisMaximumFixedValue = oldPlot.VisualProperties.XAxisMaximumFixedValue;
160
161      foreach (var x in newPlot.Rows.Zip(oldPlot.Rows, (nr, or) => new { nr, or })) {
162        var newVisuapProperties = (ScatterPlotDataRowVisualProperties)x.or.VisualProperties.Clone();
163        newVisuapProperties.DisplayName = x.nr.VisualProperties.DisplayName;
164        x.nr.VisualProperties = newVisuapProperties;
165      }
166      ResumeRepaint(true);
167    }
168
169    private void comboBoxGroup_SelectedIndexChanged(object sender, EventArgs e) {
170      useGradientCheckBox.Enabled = (string)comboBoxGroup.SelectedItem != NoGroupItem && Content.PreprocessingData.GetDoubleVariableNames().Contains((string)comboBoxGroup.SelectedItem);
171      gradientPanel.Visible = useGradientCheckBox.Enabled && useGradientCheckBox.Checked;
172      UpdateScatterPlot();
173    }
174
175    #region Regression Line
176    private void regressionTypeComboBox_SelectedIndexChanged(object sender, EventArgs e) {
177      var regressionType = (RegressionType)regressionTypeComboBox.SelectedValue;
178      polynomialRegressionOrderNumericUpDown.Enabled = regressionType == RegressionType.Polynomial;
179
180      UpdateRegressionLine();
181    }
182
183    private void polynomialRegressionOrderNumericUpDown_ValueChanged(object sender, EventArgs e) {
184      UpdateRegressionLine();
185    }
186
187    private void UpdateRegressionLine() {
188      if (Content == null) return;
189
190      var regressionType = (RegressionType)regressionTypeComboBox.SelectedValue;
191      int order = (int)polynomialRegressionOrderNumericUpDown.Value;
192
193      foreach (var row in scatterPlotView.Content.Rows) {
194        row.VisualProperties.IsRegressionVisibleInLegend = false;
195        row.VisualProperties.RegressionType = regressionType;
196        row.VisualProperties.PolynomialRegressionOrder = order;
197      }
198    }
199    #endregion
200
201    private void useGradientCheckBox_CheckedChanged(object sender, EventArgs e) {
202      gradientPanel.Visible = useGradientCheckBox.Enabled && useGradientCheckBox.Checked;
203
204      // remove rows and re-add them later to avoid firing visual property changd events
205      var rows = scatterPlotView.Content.Rows.ToDictionary(r => r.Name, r => r);
206      scatterPlotView.Content.Rows.Clear();
207
208      if (useGradientCheckBox.Checked) {
209        var groupVariable = (string)comboBoxGroup.SelectedItem;
210        if (groupVariable == NoGroupItem) return;
211
212        var groupValues = Content.PreprocessingData.GetValues<double>(Content.PreprocessingData.GetColumnIndex(groupVariable))
213          .Distinct().OrderBy(x => x).ToList();
214        double min = groupValues.FirstOrDefault(x => !double.IsNaN(x)), max = groupValues.LastOrDefault(x => !double.IsNaN(x));
215        foreach (var group in groupValues) {
216          ScatterPlotDataRow row;
217          if (rows.TryGetValue(group.ToString("R"), out row)) {
218            row.VisualProperties.Color = GetColor(group, min, max);
219            row.VisualProperties.IsVisibleInLegend = false;
220          }
221        }
222        gradientMinimumLabel.Text = min.ToString("G5");
223        gradientMaximumLabel.Text = max.ToString("G5");
224      } else {
225        foreach (var row in rows.Values) {
226          row.VisualProperties.Color = Color.Empty;
227          row.VisualProperties.IsVisibleInLegend = true;
228        }
229      }
230      scatterPlotView.Content.Rows.AddRange(rows.Values);
231    }
232
233    private static Color GetColor(double value, double min, double max) {
234      if (double.IsNaN(value)) {
235        return Color.Black;
236      }
237      var colors = ColorGradient.Colors;
238      int index = (int)((colors.Count - 1) * (value - min) / (max - min));
239      if (index >= colors.Count) index = colors.Count - 1;
240      if (index < 0) index = 0;
241      return colors[index];
242    }
243
244    private void orderComboBox_SelectedIndexChanged(object sender, EventArgs e) {
245      UpdateScatterPlot();
246    }
247  }
248}
249
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