#region License Information
/* HeuristicLab
* Copyright (C) 2002-2012 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.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Optimization;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Analysis.AlgorithmBehavior.Analyzers {
[Item("ScatterPlotHelper", "Helper class for creating scatter plots.")]
[StorableClass]
public class ScatterPlotHelper : Item {
[Storable]
private ResultCollection resultsCol;
[Storable]
private string chartName;
[Storable]
private string xAxisTitle;
[Storable]
private string yAxisTitle;
[Storable]
public bool StoreHistory { get; set; }
[Storable]
public bool CreateDataTable { get; set; }
[Storable]
public DataTableHelper dataTableHelper;
[Storable]
private string lastRowName;
[Storable]
private ScatterPlot plot;
public ScatterPlot Plot {
get { return plot; }
private set { plot = value; }
}
[StorableConstructor]
private ScatterPlotHelper(bool deserializing) : base(deserializing) { }
private ScatterPlotHelper(ScatterPlotHelper original, Cloner cloner)
: base(original, cloner) {
StoreHistory = original.StoreHistory;
CreateDataTable = original.CreateDataTable;
}
public ScatterPlotHelper()
: base() {
StoreHistory = true;
CreateDataTable = false;
}
public ScatterPlotHelper(bool storeHistory, bool createDataTable)
: base() {
StoreHistory = storeHistory;
CreateDataTable = createDataTable;
}
public override IDeepCloneable Clone(Cloner cloner) {
return new ScatterPlotHelper(this, cloner);
}
public void InitializePlot(ResultCollection results, string chartName, string xAxisTitle, string yAxisTitle) {
if (CreateDataTable) {
if (dataTableHelper == null) {
dataTableHelper = new DataTableHelper();
}
dataTableHelper.InitializeChart(results, chartName + " Chart", new string[] { yAxisTitle });
}
if (!results.ContainsKey(chartName)) {
this.chartName = chartName;
this.resultsCol = results;
this.xAxisTitle = xAxisTitle;
this.yAxisTitle = yAxisTitle;
Initialize();
lastRowName = null;
results.Add(new Result(chartName, Plot));
if (StoreHistory)
results.Add(new Result(chartName + " History", new ScatterPlotHistory()));
}
}
public void AddPoint(string rowName, Point2D point) {
if (!Plot.Rows.ContainsKey(rowName)) {
if (StoreHistory)
((ScatterPlotHistory)resultsCol[chartName + " History"].Value).Add(Plot);
if (CreateDataTable && lastRowName != null && lastRowName != string.Empty) {
double avg = Plot.Rows[lastRowName].Points.Average(x => x.Y);
dataTableHelper.AddPoint(avg);
}
Initialize();
resultsCol[chartName].Value = Plot;
var points = new List>();
points.Add(point);
ScatterPlotDataRow row = new ScatterPlotDataRow(rowName, null, points);
row.VisualProperties.PointStyle = ScatterPlotDataRowVisualProperties.ScatterPlotDataRowPointStyle.Circle;
row.VisualProperties.PointSize = 5;
Plot.Rows.Add(row);
lastRowName = rowName;
} else {
Plot.Rows[rowName].Points.Add(point);
}
}
private void Initialize() {
Plot = new ScatterPlot(chartName, null);
Plot.VisualProperties.XAxisTitle = xAxisTitle;
Plot.VisualProperties.YAxisTitle = yAxisTitle;
}
}
}