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source: branches/DataPreprocessing/HeuristicLab.DataPreprocessing/3.4/Implementations/ScatterPlotContent.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: 2.7 KB
RevLine 
[10539]1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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
[10987]22using System.Collections.Generic;
[10539]23using System.Drawing;
[10987]24using HeuristicLab.Analysis;
[10539]25using HeuristicLab.Common;
[10245]26using HeuristicLab.Core;
[10992]27using HeuristicLab.DataPreprocessing.Interfaces;
[10242]28
[10539]29namespace HeuristicLab.DataPreprocessing {
[10709]30
[10882]31  [Item("ScatterPlot", "Represents a scatter plot.")]
[10992]32  public class ScatterPlotContent : PreprocessingChartContent {
[10987]33    public static new Image StaticItemImage {
34      get { return HeuristicLab.Common.Resources.VSImageLibrary.Performance; }
35    }
[10252]36
[10915]37    public string SelectedXVariable { get; set; }
38    public string SelectedYVariable { get; set; }
39
[10992]40    public ScatterPlotContent(IFilteredPreprocessingData preprocessingData)
41      : base(preprocessingData) {
[10252]42    }
43
[10882]44    public ScatterPlotContent(ScatterPlotContent content, Cloner cloner)
[10539]45      : base(content, cloner) {
[10987]46      this.SelectedXVariable = content.SelectedXVariable;
47      this.SelectedYVariable = content.SelectedYVariable;
[10245]48    }
[10987]49    public override IDeepCloneable Clone(Cloner cloner) {
50      return new ScatterPlotContent(this, cloner);
51    }
[10245]52
[10987]53    public ScatterPlot CreateScatterPlot(string variableNameX, string variableNameY) {
54      ScatterPlot scatterPlot = new ScatterPlot();
55
[10992]56      IList<double> xValues = PreprocessingData.GetValues<double>(PreprocessingData.GetColumnIndex(variableNameX));
57      IList<double> yValues = PreprocessingData.GetValues<double>(PreprocessingData.GetColumnIndex(variableNameY));
[10987]58
59      List<Point2D<double>> points = new List<Point2D<double>>();
60
61      for (int i = 0; i < xValues.Count; i++) {
62        Point2D<double> point = new Point2D<double>(xValues[i], yValues[i]);
63        points.Add(point);
64      }
65
66      ScatterPlotDataRow scdr = new ScatterPlotDataRow(variableNameX + " - " + variableNameY, "", points);
67      scatterPlot.Rows.Add(scdr);
68      return scatterPlot;
69    }
[10242]70  }
71}
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