source: branches/FitnessLandscapeAnalysis/HeuristicLab.Analysis.FitnessLandscape.Views/FDC/ScatterPlotView.cs @ 7231

#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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Collections.Generic;
using System.Drawing;
using System.Linq;
using System.Windows.Forms;
using System.Windows.Forms.DataVisualization.Charting;
using HeuristicLab.Core.Views;
using HeuristicLab.MainForm;

namespace HeuristicLab.Analysis.FitnessLandscape {

  [View("ScatterPlot View")]
  [Content(typeof(ScatterPlot), true)]
  public partial class ScatterPlotView : NamedItemView {


    public new ScatterPlot Content {
      get { return (ScatterPlot)base.Content; }
      set { base.Content = value; }
    }

    public ScatterPlotView() {
      InitializeComponent();
      chart.CustomizeAllChartAreas();
    }

    protected override void OnContentChanged() {
      base.OnContentChanged();
      if (Content != null)
        UpdateBitmap();
    }

    protected override void RegisterContentEvents() {
      base.RegisterContentEvents();
      Content.PixelsChanged += new EventHandler<PointsEventArgs>(Content_PixelChanged);
      Content.AxisNameChanged += new EventHandler(Content_AxisNameChanged);
    }

    protected override void DeregisterContentEvents() {
      Content.PixelsChanged -= new EventHandler<PointsEventArgs>(Content_PixelChanged);
      Content.AxisNameChanged += new EventHandler(Content_AxisNameChanged);
      base.DeregisterContentEvents();
    }

    void Content_AxisNameChanged(object sender, EventArgs e) {
      if (InvokeRequired) {
        Invoke(new EventHandler(Content_AxisNameChanged), sender, e);
      } else {
        chart.ChartAreas[0].Axes[0].Title = Content.XAxisName;
        chart.ChartAreas[0].Axes[1].Title = Content.YAxisName;
      }
    }

    void Content_PixelChanged(object sender, PointsEventArgs e) {
      if (InvokeRequired)
        Invoke(new EventHandler<PointsEventArgs>(Content_PixelChanged), sender, e);
      else
        AddPixels(e.NewPoints);
    }

    void Content_AreaChanged(object sender, EventArgs e) {
      if (InvokeRequired)
        Invoke(new EventHandler(Content_AreaChanged), sender, e);
      else
        UpdateBitmap();
    }

    private void AddPixels(IEnumerable<PointF> points) {
      foreach (var p in points)
        chart.Series[0].Points.AddXY(p.X, p.Y);
    }

    private void ConfigureChart() {
      chart.ChartAreas[0].Axes[0].Title = Content.XAxisName;
      chart.ChartAreas[0].Axes[1].Title = Content.YAxisName;
      chart.Titles.Clear();
      Title t = chart.Titles.Add(Content.Name);
      t.Font = new System.Drawing.Font(t.Font.FontFamily, 10, FontStyle.Bold);
    }

    private void UpdateBitmap() {
      chart.Series.Clear();
      var series1 = new Series("Series1") {
        ChartArea = "ChartArea1",
        ChartType = SeriesChartType.FastPoint,
        EmptyPointStyle = {BackGradientStyle = GradientStyle.LeftRight},
        MarkerSize = 3,
        MarkerStyle = MarkerStyle.Circle,
      };
      chart.Series.Add(series1);
      ConfigureChart();
      var points = Content.Points.ToArray();
      correlationLabel.Text = alglib.basestat.pearsoncorrelation(points.Select(x => (double)x.X).ToArray(), points.Select(x => (double)x.Y).ToArray(), points.Length).ToString();
      foreach (var p in points) {
        chart.Series[0].Points.AddXY(p.X, p.Y);
      }
    }

    private void ScatterPlotView_DragEnter(object sender, DragEventArgs e) {
      if (e.Data.GetDataPresent("HeuristicLab"))
        e.Effect = DragDropEffects.Copy;
      else e.Effect = DragDropEffects.None;
    }

    private void ScatterPlotView_DragDrop(object sender, DragEventArgs e) {
      ConfigureChart();
      ScatterPlot sp = (ScatterPlot)e.Data.GetData("HeuristicLab");
      AddPixels(sp.Points);
    }

    private void calcPearsonButton_Click(object sender, EventArgs e) {
      correlationLabel.Text = alglib.basestat.pearsoncorrelation(chart.Series[0].Points.Select(x => x.XValue).ToArray(), chart.Series[0].Points.Select(x => x.YValues[0]).ToArray(), chart.Series[0].Points.Count).ToString();
    }
  }
}