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source: branches/DataPreprocessing/HeuristicLab.DataPreprocessing.Views/3.4/HistogramView.cs @ 10992

Last change on this file since 10992 was 10992, checked in by rstoll, 10 years ago
  • removed ChartLogic and

moved logic accordingly to PreprocessingChartContent, ScatterPlotContent
modified views etc. to use IFilteredPreprocessingData instead of ChartLogic

  • reordered code
File size: 2.6 KB
RevLine 
[10914]1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2014 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 */
[10992]20#endregion
[10914]21using System;
[10736]22using System.Windows.Forms;
[10658]23using HeuristicLab.Analysis;
24using HeuristicLab.MainForm;
25
26namespace HeuristicLab.DataPreprocessing.Views {
27
28  [View("Histogram View")]
[10712]29  [Content(typeof(HistogramContent), true)]
[10658]30  public partial class HistogramView : PreprocessingChartView {
31    private const string HISTOGRAM_CHART_TITLE = "Histogram";
32
33    public HistogramView() {
34      InitializeComponent();
35      chartType = DataRowVisualProperties.DataRowChartType.Histogram;
36      chartTitle = HISTOGRAM_CHART_TITLE;
37    }
38
[10914]39    protected override void OnContentChanged() {
[10867]40      base.OnContentChanged();
[10914]41      if (Content != null) {
42
[10867]43        classifierComboBox.Items.Clear();
44        classifierComboBox.Items.Add("None");
45
[10992]46        foreach (string var in Content.GetVariableNamesForHistogramClassification()) {
[10867]47          classifierComboBox.Items.Add(var);
48        }
49
[10914]50
[10942]51        if (classifierComboBox.SelectedItem == null && Content.ClassifierVariableIndex < classifierComboBox.Items.Count) {
[10871]52          classifierComboBox.SelectedIndex = Content.ClassifierVariableIndex;
[10867]53        }
54      }
55    }
56
[10658]57    public new HistogramContent Content {
58      get { return (HistogramContent)base.Content; }
59      set { base.Content = value; }
60    }
61
[10908]62    private void classifierComboBox_SelectedIndexChanged(object sender, EventArgs e) {
[10867]63      if (classifierComboBox.SelectedItem == null)
64        return;
[10736]65
[10908]66      if (classifierComboBox.SelectedIndex != 0) {
[10992]67        int columndIndex = Content.PreprocessingData.GetColumnIndex(classifierComboBox.SelectedItem.ToString());
68        Classification = Content.PreprocessingData.GetValues<double>(columndIndex);
[10908]69      } else {
70        Classification = null;
[10818]71      }
[10867]72
[10871]73      Content.ClassifierVariableIndex = classifierComboBox.SelectedIndex;
74
[10867]75      GenerateChart();
[10818]76    }
[10658]77  }
78}
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