1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System.Collections.Generic;
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23 | using System.Drawing;
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24 | using HeuristicLab.Analysis;
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25 | using HeuristicLab.Common;
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26 | using HeuristicLab.Core;
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27 |
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28 | namespace HeuristicLab.DataPreprocessing {
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29 |
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30 | [Item("ScatterPlot", "Represents a scatter plot.")]
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31 | public class ScatterPlotContent : Item, IViewChartShortcut {
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32 | public static new Image StaticItemImage {
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33 | get { return HeuristicLab.Common.Resources.VSImageLibrary.Performance; }
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34 | }
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35 |
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36 | public string SelectedXVariable { get; set; }
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37 | public string SelectedYVariable { get; set; }
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38 |
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39 | public IPreprocessingContext Context {
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40 | get;
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41 | private set;
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42 | }
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43 | public ITransactionalPreprocessingData PreprocessingData {
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44 | get { return Context.Data; }
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45 | }
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46 |
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47 | public ScatterPlotContent(IPreprocessingContext context)
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48 | : base() {
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49 | this.Context = context;
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50 | }
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51 |
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52 | public ScatterPlotContent(ScatterPlotContent content, Cloner cloner)
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53 | : base(content, cloner) {
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54 | this.Context = content.Context;
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55 | this.SelectedXVariable = content.SelectedXVariable;
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56 | this.SelectedYVariable = content.SelectedYVariable;
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57 | }
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58 | public override IDeepCloneable Clone(Cloner cloner) {
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59 | return new ScatterPlotContent(this, cloner);
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60 | }
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61 |
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62 | public DataRow CreateDataRow(string variableName, DataRowVisualProperties.DataRowChartType chartType) {
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63 | int columnIndex = PreprocessingData.GetColumnIndex(variableName);
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64 | IList<double> values = PreprocessingData.GetValues<double>(columnIndex);
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65 | DataRow row = new DataRow(variableName, "", values);
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66 | row.VisualProperties.ChartType = chartType;
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67 | return row;
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68 | }
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69 |
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70 | public IEnumerable<string> GetVariableNames() {
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71 | List<string> doubleVariableNames = new List<string>();
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72 |
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73 | //only return variable names from type double
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74 | foreach (string variableName in PreprocessingData.VariableNames) {
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75 | if (PreprocessingData.IsType<double>(PreprocessingData.GetColumnIndex(variableName)))
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76 | doubleVariableNames.Add(variableName);
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77 | }
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78 |
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79 | return doubleVariableNames;
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80 | }
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81 |
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82 | public ScatterPlot CreateScatterPlot(string variableNameX, string variableNameY) {
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83 | ScatterPlot scatterPlot = new ScatterPlot();
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84 |
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85 | int xColumnIndex = PreprocessingData.GetColumnIndex(variableNameX);
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86 | int yColumnIndex = PreprocessingData.GetColumnIndex(variableNameY);
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87 |
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88 | IList<double> xValues = PreprocessingData.GetValues<double>(xColumnIndex);
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89 | IList<double> yValues = PreprocessingData.GetValues<double>(yColumnIndex);
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90 |
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91 | List<Point2D<double>> points = new List<Point2D<double>>();
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92 |
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93 | for (int i = 0; i < xValues.Count; i++) {
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94 | Point2D<double> point = new Point2D<double>(xValues[i], yValues[i]);
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95 | points.Add(point);
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96 | }
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97 |
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98 | ScatterPlotDataRow scdr = new ScatterPlotDataRow(variableNameX + " - " + variableNameY, "", points);
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99 | scatterPlot.Rows.Add(scdr);
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100 | return scatterPlot;
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101 | }
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102 |
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103 | }
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104 | }
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