Changeset 14467 for branches/DataPreprocessing Enhancements/HeuristicLab.DataPreprocessing/3.4/Content

Timestamp:

12/09/16 11:35:42 (8 years ago)

Author:

pfleck

Message:

#2709

• Removed some groupboxes in ViewShortcutListView.
• Removed unnecessary IViewChartShortcut
• Split ScatterPlot Multi and Single in to separate contents.
• Renamed Color-combo box in Scatterplot to "Group".

Location:

branches/DataPreprocessing Enhancements/HeuristicLab.DataPreprocessing/3.4/Content

Files:

• CorrelationMatrixContent.cs (modified) (1 diff)
• DataCompletenessChartContent.cs (modified) (1 diff)
• IViewChartShortcut.cs (deleted)
• PreprocessingChartContent.cs (modified) (1 diff)
• ScatterPlotContent.cs (modified) (1 diff)
• SingleScatterPlotContent.cs (copied) (copied from branches/DataPreprocessing Enhancements/HeuristicLab.DataPreprocessing/3.4/Content/ScatterPlotContent.cs) (3 diffs)

branches/DataPreprocessing Enhancements/HeuristicLab.DataPreprocessing/3.4/Content/CorrelationMatrixContent.cs

@@ -27 +27 @@
 namespace HeuristicLab.DataPreprocessing {
   [Item("Feature Correlation Matrix", "Represents the feature correlation matrix.")]
-  public class CorrelationMatrixContent : Item, IViewChartShortcut {
+  public class CorrelationMatrixContent : Item, IViewShortcut {
     public static new Image StaticItemImage {
       get { return HeuristicLab.Common.Resources.VSImageLibrary.Gradient; }

branches/DataPreprocessing Enhancements/HeuristicLab.DataPreprocessing/3.4/Content/DataCompletenessChartContent.cs

@@ -6 +6 @@
   [Item("DataCompletenessChart", "Represents a datacompleteness chart.")]
 
-  public class DataCompletenessChartContent : Item, IViewChartShortcut {
+  public class DataCompletenessChartContent : Item, IViewShortcut {
     public static new Image StaticItemImage {
       get { return HeuristicLab.Common.Resources.VSImageLibrary.EditBrightnessContrast; }

branches/DataPreprocessing Enhancements/HeuristicLab.DataPreprocessing/3.4/Content/PreprocessingChartContent.cs

@@ -29 +29 @@
 namespace HeuristicLab.DataPreprocessing {
   [Item("PreprocessingChart", "Represents a preprocessing chart.")]
-  public class PreprocessingChartContent : Item, IViewChartShortcut {
+  public class PreprocessingChartContent : Item, IViewShortcut {
     public static new Image StaticItemImage {
       get { return HeuristicLab.Common.Resources.VSImageLibrary.PieChart; }

branches/DataPreprocessing Enhancements/HeuristicLab.DataPreprocessing/3.4/Content/ScatterPlotContent.cs

@@ -21 +21 @@
 
 using System.Collections.Generic;
-using System.Drawing;
 using System.Linq;
 using HeuristicLab.Analysis;
 using HeuristicLab.Common;
-using HeuristicLab.Core;
 
 namespace HeuristicLab.DataPreprocessing {
 
-  [Item("ScatterPlot", "Represents a scatter plot.")]
-  public class ScatterPlotContent : PreprocessingChartContent {
-
-    public string SelectedXVariable { get; set; }
-    public string SelectedYVariable { get; set; }
-    public string SelectedColorVariable { get; set; }
-
-    public ScatterPlotContent(IFilteredPreprocessingData preprocessingData)
+  public abstract class ScatterPlotContent : PreprocessingChartContent {
+    protected ScatterPlotContent(IFilteredPreprocessingData preprocessingData)
       : base(preprocessingData) {
     }
 
-    public ScatterPlotContent(ScatterPlotContent content, Cloner cloner)
+    protected ScatterPlotContent(ScatterPlotContent content, Cloner cloner)
       : base(content, cloner) {
-      this.SelectedXVariable = content.SelectedXVariable;
-      this.SelectedYVariable = content.SelectedYVariable;
-      this.SelectedColorVariable = content.SelectedColorVariable;
-    }
-
-    public static new Image StaticItemImage {
-      get { return HeuristicLab.Common.Resources.VSImageLibrary.Performance; }
-    }
-
-    public override IDeepCloneable Clone(Cloner cloner) {
-      return new ScatterPlotContent(this, cloner);
     }
 

branches/DataPreprocessing Enhancements/HeuristicLab.DataPreprocessing/3.4/Content/SingleScatterPlotContent.cs

@@ -20 +20 @@
 #endregion
 
-using System.Collections.Generic;
 using System.Drawing;
-using System.Linq;
-using HeuristicLab.Analysis;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
@@ -30 +27 @@
 
   [Item("ScatterPlot", "Represents a scatter plot.")]
-  public class ScatterPlotContent : PreprocessingChartContent {
+  public class SingleScatterPlotContent : ScatterPlotContent {
 
     public string SelectedXVariable { get; set; }
     public string SelectedYVariable { get; set; }
-    public string SelectedColorVariable { get; set; }
+    public string SelectedGroupVariable { get; set; }
 
-    public ScatterPlotContent(IFilteredPreprocessingData preprocessingData)
+    public SingleScatterPlotContent(IFilteredPreprocessingData preprocessingData)
       : base(preprocessingData) {
     }
 
-    public ScatterPlotContent(ScatterPlotContent content, Cloner cloner)
+    public SingleScatterPlotContent(SingleScatterPlotContent content, Cloner cloner)
       : base(content, cloner) {
       this.SelectedXVariable = content.SelectedXVariable;
       this.SelectedYVariable = content.SelectedYVariable;
-      this.SelectedColorVariable = content.SelectedColorVariable;
+      this.SelectedGroupVariable = content.SelectedGroupVariable;
     }
 
@@ -52 +49 @@
 
     public override IDeepCloneable Clone(Cloner cloner) {
-      return new ScatterPlotContent(this, cloner);
-    }
-
-    public ScatterPlot CreateScatterPlot(string variableNameX, string variableNameY, string variableNameColor = "-") {
-      ScatterPlot scatterPlot = new ScatterPlot();
-
-      IList<double> xValues = PreprocessingData.GetValues<double>(PreprocessingData.GetColumnIndex(variableNameX));
-      IList<double> yValues = PreprocessingData.GetValues<double>(PreprocessingData.GetColumnIndex(variableNameY));
-      if (variableNameColor == null || variableNameColor == "-") {
-        List<Point2D<double>> points = new List<Point2D<double>>();
-
-        for (int i = 0; i < xValues.Count; i++) {
-          Point2D<double> point = new Point2D<double>(xValues[i], yValues[i]);
-          points.Add(point);
-        }
-
-        ScatterPlotDataRow scdr = new ScatterPlotDataRow(variableNameX + " - " + variableNameY, "", points);
-        scdr.VisualProperties.IsVisibleInLegend = false;
-        scatterPlot.Rows.Add(scdr);
-
-      } else {
-        var colorValues = PreprocessingData.GetValues<double>(PreprocessingData.GetColumnIndex(variableNameColor));
-        var data = xValues.Zip(yValues, (x, y) => new { x, y }).Zip(colorValues, (v, c) => new { v.x, v.y, c }).ToList();
-        var gradients = ColorGradient.Colors;
-        int curGradient = 0;
-        int numColors = colorValues.Distinct().Count();
-        foreach (var colorValue in colorValues.Distinct()) {
-          var values = data.Where(x => x.c == colorValue);
-          var row = new ScatterPlotDataRow(
-            variableNameX + " - " + variableNameY + " (" + colorValue + ")",
-            "",
-            values.Select(v => new Point2D<double>(v.x, v.y)),
-            new ScatterPlotDataRowVisualProperties() { Color = gradients[curGradient] });
-          curGradient += gradients.Count / numColors;
-          scatterPlot.Rows.Add(row);
-        }
-      }
-      return scatterPlot;
+      return new SingleScatterPlotContent(this, cloner);
     }
   }