#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Common.Resources;
namespace HeuristicLab.Analysis.FitnessLandscape {
public class PointsEventArgs : EventArgs {
public IEnumerable NewPoints { get; private set; }
public PointsEventArgs(IEnumerable points) {
NewPoints = points.ToList();
}
}
[Item("ScatterPlot", "A scatter plot of 2D data")]
[StorableClass]
public class ScatterPlot : NamedItem {
public static new Image StaticItemImage { get { return VSImageLibrary.Image; } }
public event EventHandler PixelsChanged;
public event EventHandler AxisNameChanged;
protected virtual void OnPixelsChanged(IEnumerable p) {
EventHandler handler = PixelsChanged;
if (handler != null)
handler(this, new PointsEventArgs(p));
}
protected virtual void OnAxesNameChanged() {
EventHandler handler = AxisNameChanged;
if (handler != null)
handler(this, EventArgs.Empty);
}
private IEnumerable GetPointCoordinates() {
foreach (var p in points) {
yield return p.X;
yield return p.Y;
}
}
[Storable]
private List PointCoordinateList {
get {
return new List(GetPointCoordinates());
}
set {
points = new HashSet();
var iter = value.GetEnumerator();
while (iter.MoveNext()) {
float x = iter.Current;
iter.MoveNext();
float y = iter.Current;
points.Add(new PointF(x, y));
}
}
}
private HashSet points;
public IEnumerable Points {
get { return points; }
}
[Storable]
private string xAxisName;
public string XAxisName {
get { return xAxisName; }
set {
if (value == xAxisName) return;
xAxisName = value;
OnAxesNameChanged();
}
}
[Storable]
private string yAxisName;
public string YAxisName {
get { return yAxisName; }
set {
if (value == yAxisName) return;
yAxisName = value;
OnAxesNameChanged();
}
}
public void Add(IEnumerable points) {
List newPoints = new List();
foreach (var p in points) {
if (this.points.Add(p))
newPoints.Add(p);
}
if (newPoints.Count > 0)
OnPixelsChanged(newPoints);
}
[StorableConstructor]
protected ScatterPlot(bool deserializing) : base(deserializing) { }
protected ScatterPlot(ScatterPlot original, Cloner cloner)
: base(original, cloner) {
points = new HashSet(original.points.Select(p => new PointF(p.X, p.Y)));
xAxisName = original.xAxisName;
yAxisName = original.yAxisName;
}
public ScatterPlot() {
points = new HashSet();
Name = "Scatter Plot";
xAxisName = "Fitness";
yAxisName = "Distance";
}
public override IDeepCloneable Clone(Cloner cloner) {
return new ScatterPlot(this, cloner);
}
internal void Clear() {
var oldPoints = points;
points = new HashSet();
OnPixelsChanged(oldPoints);
}
}
}